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Visar 16 av 38 lediga jobb för "Dataingenjör" i Stockholms län
Rensa sökfilterBI-utvecklare/Dataingenjör
Om oss På Techrytera AB börjar rekryteringen med dig. Vi är ett bemannings- och rekryteringsföretag med spetskompetens och ett tydligt fokus inom IT och Engineering. Med vår branschkunskap och nära dialog med både kandidater och kunder skapar vi träffsäkra matchningar där rätt kompetens möter rätt behov. Vi tror att en riktigt bra matchning inte bara handlar om en rollbeskrivning – utan om dina erfarenheter, din potential och vad du faktiskt vill utvecklas inom. Därför utgår vi alltid från individen. Genom att förstå din bakgrund, dina drivkrafter och dina ambitioner kan vi koppla ihop dig med uppdrag och roller hos våra kunder där du får rätt förutsättningar att utvecklas och göra skillnad. Vårt mål är att bygga långsiktiga och meningsfulla samarbeten – både för dig som kandidat och för våra kunder. Arbetsbeskrivning Rollen som BI-utvecklare (Dataingenjör) i projekt och förvaltningar kan bl.a. omfatta följande uppgifter: • I datalagret, designa och utveckla procedurer, databasscheman och logik skrivet i SQL för Microsoft SQL Server • Ansvara för acceptanstest mot slutanvändare • I ett DevOps-team förvalta och vidareutveckla leveranser till slutanvändare bl.a. för våra Machine learning algoritmer, där både historiska data och data i realtid ingår • Ta fram eller uppdatera systemdokumentation • Samarbete inom teamet men även med andra delar av organisationen. • Förekommande förvaltning så som hantera incidenter, där felsökning och buggrättning kan ingå, samt bistå i övrigt i IT-förvaltningen av våra applikationer. • Ha förmåga att agera som scrum master för det agila teamet: koordinera det dagliga arbetet samt förvalta backloggen i samråd med produktägare Skallkrav 1. Utbildning / erfarenhet Högskole-/universitetsutbildning om minst 120p/180hp inom IT, eller minst 15 års relevant arbetslivserfarenhet som bedöms likvärdig. 2. SQL-utveckling Minst 5 års erfarenhet (inom de senaste 10 åren) av arbete med SQL-utveckling. 3. SQL Server prestandaoptimering Minst 10 års erfarenhet av prestandaoptimering i SQL Server, inklusive analys, felsökning och förbättring av komplexa databassystem. 4. Avancerad SQL-programmering Minst 10 års erfarenhet av SQL-programmering, inklusive skrivning, granskning och optimering av avancerad SQL-kod. 5. Data Engineer-roll Minst 10 års erfarenhet som Data Engineer i medelstora organisationer (200+ anställda). 6. Agil systemutveckling Minst 5 års erfarenhet av arbete i agil IT-organisation med agil systemutveckling. 7. Stora datamängder och datakällor Minst 10 års dokumenterad erfarenhet (inom de senaste 15 åren) av arbete med: Stora datamängder och komplexa datamodeller Flera datakällor, både strukturerade och ostrukturerade 8. Databaser och databasarkitektur Minst 10 års dokumenterad erfarenhet (inom de senaste 15 åren) av: Datamodellering Databasdesign Prestandaoptimering och tuning av relationsdatabaser och moderna datalagringslösningar 9. ETL-processer Minst 10 års dokumenterad erfarenhet (inom de senaste 15 åren) av: ETL-processer (Extract, Transform, Load) Utveckling, automatisering och optimering av datainflöden 10. Data pipelines och orkestrering Praktisk erfarenhet av data pipelines och orkestreringsverktyg, exempelvis: Microsoft SQL Server Integration Services (SSIS) Azure Data Factory eller motsvarande verktyg 11. Test, felsökning och datavalidering Minst 10 års dokumenterad erfarenhet av att testa, felsöka och validera datamängder. Mervärdeskrav 1. Kraftsystem / energiverksamhet Erfarenhet av minst ett uppdrag inom verksamhet som arbetar med kraftsystem under de senaste 8 åren. 2. BI-verktyg Erfarenhet av minst ett uppdrag inom Power BI eller annat BI-verktyg under de senaste 8 åren. Ansökan När du söker via Techrytera AB söker du inte bara ett jobb – du påbörjar en dialog om din fortsatta karriär. Vi vill lära känna dig, din erfarenhet och dina ambitioner för att kunna matcha dig med rätt möjligheter hos våra kunder. Låter det intressant? Skicka in din ansökan eller hör av dig till oss så berättar vi mer. Vi ser fram emot att hitta nästa steg i din karriär tillsammans med dig.
Senior Data & AI Platform Engineer
Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your Role We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions. You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure. As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs. Key Responsibilities: Design, develop, and enhance cloud-native Data & AI platforms Develop platform functionality and work with Kubernetes and Kubernetes Operators Implement, deploy, and troubleshoot solutions in complex technical environments Work with automation, GitOps, CI/CD, and observability Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices Explore how emerging AI technologies and tools can be utilized and integrated into our platforms Travel may be required as part of this role. Your Profile We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others. We believe you have experience in several of the following areas: Golang or other programming languages used for systems-level development Kubernetes, Kubernetes Operators, and containerized environments Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices Linux and automation using tools such as Python or Shell scripting Data-intensive environments and the deployment and management of AI models Experience in any of the following areas is considered a merit: AI-assisted software development or agent-based AI Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG) Test automation Security testing You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience. As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently. This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. What You Will Be Part Of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here
Senior Data Engineer
Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. About the Team The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. About the Role As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the engineering experience. Excellence in data management: Continuously improve on building capabilities for effective data utilization across Storytel. Collaboration: Collaborate with other engineers, data analysts, data scientists, and decision-makers to understand needs and build self-service. About you To be a fit for our team, we believe that you: Have a few years of hands-on experience in delivering data products and know the value of accurate consistent data infrastructure. Have experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (Github actions), and maintaining data orchestration tools such as Airflow, dbt, Airbyte. Have experience with cloud infrastructure (Azure, AWS, or GCP) and data warehousing (preferably BigQuery). Have a good understanding of data access, storage, and optimization. Are able to break down and explain complicated technical solutions independent of stakeholders. Thrive in an environment focusing on innovation and collaboration and continuously work on personal development. Bonus qualifications: Experience with streaming data ingestion. Expertise in developing CI/CD pipelines tailored for data infrastructure. Join a world of stories At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us.
Engineering Manager
Tacton builds software that the world’s largest manufacturing companies depend on to sell and deliver their most complex products. Our solutions are ranked #1 in the world by Gartner and use proprietary technology with roots in cutting-edge computer science research. Our engineering organization is entering a new chapter: we’re broadening our product through acquisitions and organic development, changing how we build software by scaling through smaller long-lived teams, and putting AI agents to work across the development process. We’re now looking for an Engineering Manager to help drive this change — a people leadership role for someone who hasn’t stopped being an engineer at heart. What You’ll Do Lead and grow the people · Own teams. Take responsibility for up to ~15 engineers, manage performance, growth and wellbeing. · Coach and develop. Run high-quality 1:1s and genuinely help move careers forward. · Set the tone. Build a culture where engineers feel safe, trusted and motivated to do their best work. Own delivery, end to end · Ship reliably. Support your teams in delivering high-quality software, balancing technical excellence and time to market. · Push ownership outward. Help drive the shift to teams owning their software all the way to production. · Connect the dots. Work closely with R&D, Product Management and other stakeholders to stay aligned. Help lead the transformation · Change how we work. Be a key contributor to Tacton’s organizational vision and ways of working in the emerging world of AI-native software development. What We’re Looking For · Proven experience leading 10+ engineers, with the full spectrum of people management: hiring, coaching, performance, career development. · A genuine technical background, able to engage credibly with engineers. · Experience driving real organizational change in engineering teams, not just observing it. · Practical experience with AI in software engineering, at both developer and leadership level. · Experience from companies of comparable scale to Tacton — navigating complexity without big-enterprise resources. · Strong communication skills, with real empathy and a low-friction, high-trust style. · Strategic and business-minded, comfortable making trade-offs in ambiguous situations. The Recruitment Process · Screening call with our Global Talent Acquisition Partner · First interview with the hiring managers · Online personality test and logical ability test · Second interview round: “rapid fire” format, several short interviews · Grandparent interview · References and background check Why Tacton · A solid and stable company with over 20 years of success in its industry. · An industry-leading product, ranked #1 by Gartner for four years running. · A deeply technical product combining symbolic AI and LLM AI with a rich enterprise-grade SaaS platform. · A strong engineering culture that invests in developer experience and modern ways of working. Benefits · Flexible hybrid setup – 3x a week at the office. · 33 days of paid time off – 30 vacation days plus 3 extra. · Premium occupational pension – beyond ITP1, with higher contributions by age and salary. · Generous wellness allowance – 5,000 SEK annually. · Private healthcare insurance – quick access to specialist care. · Parental leave top-up – up to 90% of base salary for up to 6 months. · Weekly treats – Fika one week, breakfast the next. About Tacton Tacton is a global leader in software for manufacturers of complex, highly configurable products — uniting Configure, Price and Quote, Configuration Lifecycle Management, and Configured Order Fulfillment to help manufacturers manage complexity, protect margins, and deliver with confidence. With more than 26 years of experience, Tacton is headquartered in Stockholm, Sweden and Chicago, USA. Learn more at www.tacton.com.
Data Engineer - Hybrid
Data Engineer - Hybrid, Stockholm The Employer is a modern data consultancy Company focused on building long-term, high-quality data solutions that create real business value. In a world where AI can generate code in seconds, we believe that true impact comes from deep craftsmanship, strong data modeling, and a solid understanding of quality and security. We are founded by experienced entrepreneurs, technical leaders, and sales professionals who know how to build sustainable teams and meaningful client partnerships. Our ambition is to shape the future of tech consulting by combining technical excellence with a human-centered culture. Our services / Product: We design and build robust data platforms, pipelines, and architectures that enable organizations to turn data into actionable insights. Our work spans across modern data ecosystems, including cloud-based platforms, advanced data processing, and AI-supported workflows. We focus on scalable, maintainable, and secure solutions using technologies such as Python, SQL, Microsoft Fabric, Databricks, Apache Spark, and dbt. About us & our references: We work closely with our clients to understand their real needs and deliver solutions that stand the test of time. Rather than chasing short-term projects, we focus on long-term value creation and strong partnerships. Our founders bring extensive experience from building successful companies and leading high-performing teams, ensuring that both our consultants and our clients are set up for success. Our team & Culture: We believe that great technology is built by people who care. We foster a culture where knowledge sharing is as natural as grabbing a coffee together. There is no room for unnecessary internal competition or sharp elbows. Instead, we focus on collaboration, curiosity, and continuous learning. You will join a team that values both technical excellence and human connection, proving that the best tech companies can be both smart and kind. Requirement Profile: We are looking for a Data Engineer with 5+ years of experience as a developer or in a related field, including minimum 3 years of Data Engineering, who wants to grow within the data domain and work with modern technologies in a meaningful way. You take ownership of the business understanding and of the customer project and relationship, making sure the technical work connects to real value for the client. Job Responsibilities: - Design, build, and maintain scalable data pipelines and data platforms - Ensure high data quality, security, and maintainability across solutions - Collaborate with clients to translate business needs into robust technical solutions - Act as a bridge between modern technologies and sustainable system design Daily Activities: You work at assignments at our client's site. - Develop and optimize data pipelines using tools such as Python, SQL, and modern data platforms - Work with cloud and data processing technologies like Databricks, Microsoft Fabric, Spark, or dbt - Participate in client projects where you ensure long-term value and technical excellence - Explore and apply AI tools to enhance development workflows while maintaining high standards Qualifications and Requirements: - A university degree in engineering, computer science, or a related field - 5+ years as a developer, with minimum 3 years in Data Engineering - Strong skills in Python and SQL - Experience with building data pipelines and working with modern data platforms - Familiarity with tools such as Databricks, Microsoft Fabric, Apache Spark, or dbt is a plus - Interest in AI and modern coding tools such as coding agents - Fluent in Swedish, both spoken and written. Personal Attributes: - Quality-oriented mindset with a strong understanding that data quality is the foundation of all analytics and AI - Technically curious with a broad interest in data, systems, and new technologies - Able to critically evaluate AI-generated code and ensure it is secure and scalable - A collaborative team player who enjoys sharing knowledge - Driven by learning and continuous improvement - Care by design in every solution Career Development Opportunities & Benefits: - Opportunity to shape your role and influence how modern consulting evolves in an AI-driven world - Work on cutting-edge projects while focusing on long-term, sustainable solutions - A stable and secure environment backed by experienced founders - Competitive salary, pension, and benefits - A supportive and human-centric workplace culture Interviews are conducted on an ongoing basis, so please submit your application as soon as possible. You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency. Welcome to submit your application! Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.
Founding AI Engineer
TL;DR We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems. Why join We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home. You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings. What you'll do (responsibilities) In one sentence: Build the next generation agentic system. Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web Own the agent stack end-to-end: from infrastructure to product logic Ship fast: test ideas, run experiments, iterate daily Shape the product, the stack, and the culture from the ground up Who you are Cracked engineer obsessed with building great software Comfortable with ambiguity, early-stage chaos, and fast iteration Thrive on new tech - LLMs, knowledge graphs, agents, you name it Care more about solving problems than polishing abstractions Fully committed to the mission: not "just a job" What we offer A team of obsessed engineers, full of speed, rigour, and grit Mission-driven, no-BS culture: experiment, ship, learn Meaningful equity through qualified employee stock options (QESO) from day one Fully on-site in Stockholm - we believe in working together Top-tier compensation package Our stack Frontend: React Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra About Spiich Labs Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. How we hire Submit your application Intro call with the team Technical interview Take-home exercise Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you. We move fast — the full process typically takes under two weeks. How to Apply Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.
AI Engineer Internal Tooling & AI-Powered Products
The role You’ll work within the AI team reporting to the AI & Innovation Lead. You will be primarily supporting R&D and Solutions but collaborating with all teams, to embed AI into Prover’s engineering workflows and help shape our next generation of AI-powered products, initially for railway signaling, and over time for safety-critical systems more broadly. You will: Build AI agents and assistants that accelerate formal verification and engineering workflows Evaluate and integrate agent SDKs (e.g., Anthropic Agent SDK, OpenAI Agents SDK, or similar) to build our own internal AI platform Prototype AI-powered features for Prover Station, our digital twin and formal verification platform Explore how LLMs can accelerate the adoption of formal methods in safety-critical domains What we’re looking for A hands-on builder who has shipped tools or prototypes using LLMs or AI agents, professionally, inside projects, or in open source Deeply curious about AI and the fast-moving landscape of agent frameworks and developer tooling Comfortable across the stack. We care more about builder mindset than a specific language or framework Strong communicator who enjoys collaborating with domain experts in formal methods and signaling Motivated by impact. Rail is one of the most energy-efficient modes of transport, and that matters to you Nice to have: Experience with agent SDKs and platforms Familiarity with formal methods such as formal logic, formal specification, model checking, proof-oriented programming, and theorem proving Experience building internal developer tools or platforms Interest in domain-specific languages and how AI can make them more accessible
Data Engineer
Company description: Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. Withcutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and constructionequipment, and provides world-class service and consumables. The company was founded in Stockholm,Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries.Learn more at www.epirocgroup.com. Job description:Data Engineer Let’s accelerate the transformation. Together. We are looking for a Data Engineer who wants to help shape the next chapter of our digital and AI journey within the Tools division. This is a role for someone who enjoys building from scratch, working close to real business challenges, and enabling AI solutions at scale in a global industrial environment. Join our team At Epiroc Tools division, we are building a new Data & AI capability to accelerate the adoption of AI across our global operations, products, and services. As part of the Digital Innovation team, you will be at the center of this transformation, where we develop scalable AI products supporting the entire division. We are now expanding our team with dedicated Data Engineering capabilities to strengthen the foundation for our AI and analytics solutions. You will work closely with data scientists, product leads, and business stakeholders to build robust, scalable data pipelines that power AI-driven products end-to-end. Your missionAs a Data Engineer, your mission is to build and scale the data foundation that enables modern AI products. You will play a key role in designing and implementing data pipelines, ensuring data quality, and enabling advanced analytics and machine learning across the organization. You will:• Design, build, and optimize data pipelines for large-scale, cloud-based environments• Ensure data availability, quality, and reliability for AI and analytics use cases• Work closely with data scientists to enable feature pipelines and machine learning workflows• Develop and maintain scalable architectures supporting end-to-end AI products• Contribute to building a modern data platform (Databricks, cloud, orchestration, monitoring) • Support the full data lifecycle, from ingestion and transformation to serving data for AI and business insights• Collaborate with stakeholders across business, IT, and product teams to translate needs into scalable solutions You will be part of building something new, defining ways of working, setting standards, and shaping how we scale AI across the Tools division. You will help define not only what we built, but how we build it. Your profileWe are looking for someone who combines strong technical skills with a pragmatic and collaborative mindset. You enjoy solving real problems, building robust systems, and working in a fast-evolving environment. We believe you bring:• Experience as a Data Engineer or in a similar role (mid–senior level)• Strong skills in Python and SQL for data processing and transformation • Experience with cloud-based data platforms (e.g., Azure, Databricks) • Experience building data pipelines and working with orchestration tools • Understanding of modern data architectures and scalable data workflows• Experience collaborating with data scientists and enabling ML pipelines As a person, you are:• Curious and solution-oriented• Collaborative and comfortable working cross-functionally• Pragmatic, with a focus on delivering value• Motivated by building something new and making real impact Location and otherThis position can be located in Fagersta, Stockholm, or Örebro, Sweden. We offer a hybrid way of working that supports flexibility and work-life balance. Occasional travel may be required. Why Epiroc?By joining our team, you’ll make a big difference in the energy transition. At Epiroc, we take pride in being passionate innovators, driving the change toward a brighter future for both people and the planet. Guided by our values of Collaboration, Commitment, and Innovation, we foster a culture of trust, growth, and lasting impact. You will be part of a journey where you:• Build foundational capabilities for AI in an industrial context• Work at the intersection of business, technology, and innovation• Contribute to global solutions used across operations and markets• Help scale AI from experimentation to production Application and contact informationWe encourage you to submit your application through our online career site as soon as possible, but no later than 2026-10-11. Applications will be reviewed on a rolling basis, and the position may be filled before last application date.We are committed to a thorough recruitment process, including interviews, reference checks and assessments. To ensure a safe working environment, we conduct identity checks and drug and alcohol screening. Our process is designed to be fair and inclusive; you can expect transparent communication and a balanced evaluation of your skills and experience.
Senior Data Engineer
Why Doktor.se Doktor.se is Sweden's largest digital healthcare provider. We combine physical clinics with a digital platform serving millions of consultations per year across Sweden, Germany, and Norway. Our 25-person engineering team has startup autonomy inside a profitable, international organization with 1,000+ employees and over 1B SEK in revenue. We run OpenAI and Anthropic models in production across patient and clinician workflows — and that footprint is growing fast. AI is a working tool here, not a buzzword. We use it daily, we expect you to as well, and we hire people who treat it as a force multiplier. What you'll do Our data platform works, but it was built to solve yesterday's problems. We have data scattered across Postgres databases, Amplitude, S3 file dumps, and a tangle of Python jobs that move it around. The reports get built and the business runs on them. But trust is brittle, reconciliation is too manual, and the foundations need work before we can scale to where we're going. We need someone who can help us rebuild this — not maintain what we have, but reshape it. If you want a place where the warehouse is clean and the pipelines just run, this isn't it. If you want to redesign a data platform from foundations up, with real ownership and the leverage to make it good, here's what you'd own: • Reshape the data foundations — multi-tenancy, retention, and data contracts with backend services. • Decide what the warehouse actually is: self-hosted Postgres + dbt, managed Snowflake or BigQuery, or something else. You'll shape this. • Unify three data sources that don't currently talk to each other: our operational databases, Amplitude product analytics, and a long tail of S3-based partner integrations. • Build observability into the platform — lineage, freshness, and alerting that actually means something. • Own reporting that finance, operations, and the board rely on. Make those reports trustworthy by design, not by manual reconciliation. • Work directly with backend, product, and finance teams. You're not a service desk — you're a peer who shapes how data gets produced upstream, not just consumed downstream. • Use AI aggressively for pipeline boilerplate, schema generation, transformation logic, and exploratory analysis — the same discipline we hold ourselves to. You'll be part of a small data engineering team. That's a lot of ownership and not a lot of cover. The right person sees that as opportunity. What we're looking for • You've designed and run data platforms in production — not just written DAGs. You've thought about what to build vs buy, where transformations belong, and how to keep schemas honest as products evolve. • You're fluent in Python and SQL, with strong opinions about how Postgres should be used as a warehouse (and when it shouldn't). • You've used dbt or equivalent in a real environment and understand data modelling — staging, marts, tests. • You have working knowledge of one or more managed warehouses (Snowflake, BigQuery, Redshift) and can evaluate them honestly against self-hosted options. • You're comfortable with orchestration tools — Airflow, Dagster, Prefect, whichever — and know what an orchestrator is for. • You think about data contracts as a product problem, not just a pipeline problem, and can make that case to backend engineers. • You use AI in your daily work and can talk about how. If your answer is "I haven't really tried it yet," this isn't the role. • Healthcare data experience is a plus. GDPR fluency is expected. Patientdatalagen familiarity is a bonus. • You have a relevant university degree or equivalent experience. Tech stack • Sources: Postgres (operational), Amplitude (events), S3 (integrations and dumps) • Languages: Python, SQL • Cloud: AWS, multi-account • Warehouse: Postgres today, open question for tomorrow • Transformation: likely dbt going forward • Orchestration: open question — you'll shape this • AI: Claude and OpenAI in our daily workflow What we offer • Real influence. The data platform is being rebuilt and you're at the centre of it. • Small team, direct impact. 25 engineers — your work is visible, not lost in a machine. • Autonomy. No micromanagement, no endless approval chains. • Collective agreement, 30 days vacation, wellness allowance, personal development budget. Practical details • Start: As soon as we find the right person. We'll accommodate your notice period. • Employment: Permanent, full-time. Six month probation period. • Location: On-site, Monday–Thursday at Sveavägen 63, Stockholm. Fridays are flexible. • Language: You'll be working with our entire org so Swedish is a strong plus, but English is our working language within tech. • Work permit: You must already have the right to work in Sweden. We handle recruitment internally — no agencies, no consultants, no external recruiters.
Swedbank AB, Group Treasury is looking for a Software Engineer
We are looking for someone who is curious, dares to think outside the normal boundaries when it comes to development, and is eager for new tasks and knowledge. Teamwork is an important part, where you together look for the best way to solve problems. In Strategic Development team, Group Treasury – at Swedbank AB, you can: • Play a key role in delivering IT solutions and services aligned with Swedbank’s strategic goals and evolving regulatory requirements, impacting Sustainability Assets and Covered Bond Reporting • Work in an agile, cross-functional team with a strong culture of collaboration, where openness and knowledge sharing are core to how we operate • Gain in-depth knowledge of Treasury processes through close collaboration with highly skilled colleagues • Become part of a highly skilled, supportive team that brings diverse expertise and a strong passion for continuous learning What is needed in this role: • A bachelor's or master's degree or equivalent in Engineering and/or Computer Science • Solid, hands-on experience in SQL modelling, development and deployment in Teradata environment • Experience and knowledge of Data Warehouse environments, processes and data marts is of substantial merit • Experience with additional technologies—such as Mainframe (Changeman), Informatica PowerCenter, Andromeda, Java, Oracle databases or Snowflake —is considered a strong plus • Experience in working with SAFe framework and agile ways of working • Can do attitude and flexibility With us, you can experience: Personal and professional growth through self-leadership and continuous development. Meaningful work that positively impacts our workplace, our customers, and society. An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities. A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role. Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden. "Join our team and... become part of an international team of professional colleagues, who work together to deliver challenging projects, maximize customer satisfaction and contribute to Swedbank's position in society." Charlotte Hanes, your future manager We look forward to receiving your application by 18.10.2026. Location: Stockholm Recruiting manager: Charlotte Hanes, charlotte.hanes@swedbank.se We may begin the selection during the application period, so we welcome your application as soon as possible. We would like to let you know that a background check and a drug test may be a part of the process for this role. We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services. Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome. #LI-Hybrid
Area Lead
Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started. We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. What this role is and what it isn’t It is a senior are lead role with scope. You’ll run an organization that spans product, platform, and applied AI - with other managers, senior engineers, and AI agents reporting in - and you’ll be accountable for what that organization ships, how it operates, and the business outcomes it drives. It is still close enough to the work that you can drop into a Tech Lead role on a hard problem when the situation demands it. We don’t measure leadership IC time as a percentage. We measure it as the ability to pick up the work and ship at the bar you’re asking of your team. It isn’t a role for managers who think of themselves as engineering-adjacent. You need to be credible in code, design, and on-call - and you need to want to be. It isn’t a role for leaders who only think about engineering. We expect you to reason end-to-end about the business - economics, product, GTM, customers - and to make calls that are best for the company, not just best for your team. What we’re looking for 15+ years of engineering experience, including 6+ years of people management at a pre-IPO startup, scale-up or frontier tech company, and at least 2 years of managing managers. Strong IC track record before management. You’ve run an engineering organization of 30+ with managers and senior engineers reporting in. You can speak concretely about how you structured the org, how you hired up to that scale, and what you’d do differently. Still hands-on at the Tech Lead level: you can pick up an unfamiliar codebase, design and ship a non-trivial change, run an incident, and review code at a high bar. You haven’t let your engineering muscle atrophy. You’ve thought hard about humans and AI agents on the same team. What humans should and shouldn’t delegate. How productivity gets measured when the unit of work is shifting. Strong opinions, lightly held. Comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. You write the doc that aligns three teams instead of waiting for someone else to. Deep technical credibility in at least one area - full-stack product (React/TypeScript + Go/Rust), platform and developer experience (Kubernetes, sandboxing, observability, CI/CD, application frameworks), or applied AI (training, evals, agent systems, model serving). Cross-functional to your core and business-fluent: you work seamlessly across design, product, and go-to-market, and know how to bring people along with you; andable to reason end-to-end about unit economics, product strategy, GTM, and customer outcomes Track record of building and growing teams: you’ve hired senior engineers others wanted to work with, grown managers under you who became great in their own right, and set up career growth and performance practices that didn’t require constant maintenance. People follow you between companies. Based in Stockholm or London or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Run the engineering organization that builds Lovable - humans and agents both - and stay close enough to the work to be the senior engineer in the room when it matters. Lead engineering. Product, platform, and applied AI under one roof. Own the roadmap and the business outcomes the org is on the hook for. Set technical direction across the org: drive the design docs and architectural decisions that span teams, push back hard on weak plans (including your own), and hold a high bar for what ships. Shape engineering culture: how we ship, how we write code, how we hire, how we deploy agents. Set norms that outlast any single project. Ship fast: at Lovable the question is always “how fast can we get this to users?” You bias toward production and pull research, prototypes, and experiments into reality on the order of days and weeks, not quarters. Build the operating model for an engineering org where humans and AI agents work side by side. We’re inventing this in public, and you’ll set the patterns the rest of the company learns from. Operate as a peer to the executive team. Own outcomes that span beyond engineering, make the company’s biggest calls alongside the rest of leadership, and translate them back into engineering work that matters. Our tech stack We’re building with tools that both humans and AI love: Frontend: React, TypeScript Backend: Go and Rust Cloud: Cloudflare, GCP, AWS, many LLM providers Data: ClickHouse, Firestore, Spanner, BigQuery DevOps & tooling: Kubernetes, gVisor-based sandboxing for agentic workloads, GitHub Actions, Grafana, OpenTelemetry, Terraform Local tooling: Nix, DevEnv About your application Please submit your application in English — it’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally — if you’re interested, please apply through our careers portal. Ready to join us? Help us unlock human creativity and build the future of software creation.
AI Solutions Engineer
Build AI that works in the real world We are looking for an AI Solutions Engineer who wants to build AI solutions that work inside client environments, pass their security reviews and keep running after the project closes. This is not about prototypes or pilots. It is about getting solutions into production, connected to the systems clients actually use. The role You will work alongside our AI engineers and transformation strategists to design, build and deploy agentic solutions for clients. You will handle everything from technical design and integrations to cloud deployment and client-facing conversations about what you have built. A central part of the role is contributing to reusable architectures and standards so that each new engagement builds on the last rather than starting from scratch. The role spans infrastructure, integrations and technical design. You may not be equally strong in all three, and we are not expecting that. We are looking for range and the appetite to keep widening it. Contribute to the technical design of AI solutions, including agent architecture, tool selection and orchestration, and integration logic Build and maintain integrations into client systems, including REST APIs, gateways and connections into marketing and communications technology platforms Set up and operate solutions on Azure or AWS, covering deployment, monitoring, access control and cost management Take part in client meetings, turning requirements into technical options and explaining what has been built to non-technical stakeholders Contribute to reusable architectures and components that carry over to the next client Ensure that security and data governance requirements are addressed throughout the build process What good looks like after 6 months Solutions you have worked on are running in client environments and can be maintained by more than one person The client's IT and security teams are comfortable working with you directly Integration work you have contributed to is being reused across clients Colleagues actively want you on their engagements Who you are You are someone who is motivated by getting things to work in practice, not just in theory. You have a few years of experience working in tech and are comfortable being the only technical person in a room, explaining trade-offs without jargon and being honest about what will and will not work. You are curious, you ask when you do not know, and you document what you build so others can maintain it. To succeed in this role you bring a combination of the following experience and strengths: Experience shipping production code, including working in unfamiliar codebases Hands-on experience with Azure or AWS, including setting up and managing infrastructure in production Integration experience including REST APIs, authentication and webhooks Experience building solutions powered by LLMs (e.g. OpenAI, Anthropic), with practical understanding of how agents behave with real data Working knowledge of security and data protection principles (e.g. least privilege, data residency), with the ability to identify when specialist support is needed Professional English. Swedish is an advantage but not required Nice to have Experience from an agency or consultancy environment Familiarity with marketing and communications technology platforms Experience with Node.js and/or Python Working at Comprend Comprend is a place of belonging, where people are valued and empowered to create impact. We embrace diverse perspectives, bridge gaps, dare to challenge and win as a team. This is a full-time position. We prefer you to be based in Stockholm, Helsingborg or Malmö, where most of the team is located, but are open to discuss placement in London or Helsinki as well. We offer a competitive employment package. About Comprend Comprend is a partner for tech-enabled marketing and communication driving transformative impact. We are 200 specialists collaborating across Sweden, Finland and the UK. With extensive expertise and a strong track record in B2B, B2C and corporate communication, we help clients decode complexity, influence audiences and strengthen brand perception. With us, your voice will be one of many diverse and highly valued perspectives that shape how we work and partner with our clients. Comprend is part of Aura, a leading consultancy group with over 500 specialists across a wide mix of backgrounds and expertise.
Senior Data Engineer to Sergel Group
Sergel Group is one of the leading providers of credit management services in the Nordic region. We offer services within credit scoring, debt collection, debt purchasing, as well as messaging and payment solutions. Sergel is part of Marginalen Group and has just over 150 employees across Sweden, Denmark, Norway, and Finland. About the role Sergel is on an exciting journey to strengthen its inhouse capabilities, bringing more competence and ownership closer to the business. This means several ongoing development areas and new projects where data plays a central role, and the people who work with it are central to Sergel's ability to compete and grow across the Nordic market. In this role you will drive the development of scalable, efficient and compliant data solutions, with a strong focus on operational excellence and exploring new opportunities for innovation. You will have significant autonomy and a broad mandate to influence technical direction, make key decisions and ensure they are executed with real impact. We are looking for someone who combines strong technical expertise with a natural drive to take ownership and move things forward. Over time, you are motivated by the opportunity to take on greater responsibility and a more leading position within the area. Your responsibilities will include: Defining and enforcing data modeling standards, best practices and governance policies. Designing and maintaining scalable data pipelines and optimizing ETL processes. Building and maintaining applications and integrations for data ingestion, transformation and delivery. Driving the shift from external-dependent delivery toward strong in-house capability. Setting the technical direction and owning key architectural decisions. Ensuring that BI is an integral part of the data platform, enabling trusted reporting, analytics and data-driven decision-making across the organization. Qualifications and experience You are someone who combines deep technical expertise with a natural drive to take ownership. You communicate clearly across technical and non-technical stakeholders and thrive in environments where you can shape and improve things rather than just maintain them. You enjoy working closely with others, sharing knowledge and helping the team grow through collaboration, curiosity and mutual respect. You are humble enough to listen and confident enough to challenge when needed. You also bring: Solid experience as a data engineer and experience with designing, modeling and implementing data-intensive systems. Strong proficiency in SQL and C# .NET/Python. Experience with ETL tools, data pipeline frameworks and orchestration tools. Understanding of CI/CD principles. Knowledge of data governance, GDPR compliance and security best practices. The ability to drive technical decisions and set standards. Fluency in English. Valid work permit. You don't need to be senior in every area listed above, if you bring strong fundamentals and the right mindset, there is room to develop and grow into the full scope of the role. Meriting experience: Experience from financial services, credit or similar data-intensive industries. Knowledge in one of the nordic languages. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. About the company In Sergel we care about the people we meet. We are a company with a culture based on trust and learning, where we work towards strengthening individuals through competence, compassion and a high level of engagement. Together we work with clear ownership and shared responsibility towards our stakeholders, which creates long-term and loyal business relations. We always try to find new ways of working and challenging the market. We want our employees to develop with the company and have fun with their colleagues on the way. Additional information Start: By agreement Location: Central Stockholm Extent: Full-time Salary: By agreement We apply ongoing selection in this recruitment process, which means the position may be filled before the final application date. We therefore recommend submitting your application as soon as possible. If you have any questions regarding Asta Agency’s recruitment process, please do not hesitate to contact us at alice@astaagency.se. About Asta Agency Asta Agency is a recruitment and staffing company helping businesses across Sweden find the right professionals, with a primary focus on Stockholm, Gothenburg, and Malmö. We recruit and provide consultants within sales, marketing, HR, customer service, finance, administration, IT, and tech – both specialists and generalists. With a strong focus on quality, long-term partnerships, and smart solutions, we support both companies and candidates in taking the next step. Learn more about how we work with recruitment, staffing, and temp-to-perm solutions at astaagency.se.
Software Engineer (Data)
Natural Cycles° is a leading women’s health company that developed the world’s first birth control app, used by millions globally. We are a fast growing startup, and we promote an international working environment filled with smart and ambitious colleagues based in Stockholm, Geneva, New York, and remotely. Our mission is to pioneer women’s health through research and passion, empowering every woman with the knowledge she needs to take charge of her health. As a Software Engineer (Data) you will assist and maintain the data initiatives at the company, by providing validated data and the infrastructure to calculate key performance indicators to different stakeholders while still safeguarding our users' privacy and anonymity into your work. Please note that we are hiring for this role in Stockholm, Sweden. What you will be doing Maintain and improve our data warehouse: improve data models, performance of views and reports, etc. Maintain and improve our data pipelines: integrate new sources, improve monitoring and performance, etc. Investigate and report data quality issues and data inconsistencies Collaborate with stakeholders and other departments by providing dashboards and reports Collaborate with data scientists by providing adequate raw data for their needs Automate routine operations related to data Assist the Senior Data Engineer with incoming requests for change What skills and experience we think you have General Some understanding of data infrastructure and deployment pipelines Good knowledge of analyst tools to allow data visualization (we use Tableau and Mixpanel) Great analytical skills to conduct root cause analysis and similar investigations Collaborate with R&D teams as well as stakeholders from other teams, such as medical product and regulatory Data Knowledge of ETL and data pipelines (written in Python and Typescript) Interest in Business Intelligence reporting tools (we currently use Tableau) SQL (data definition, data manipulation, analytical functions) Python Backend RESTful API Typescript (or strong bases in another software development language) What we offer Flexible work arrangement - you will be part of a team based in and around Stockholm that values effective collaboration and transparent communication, irrespective of work location Professional development - you will work alongside knowledgeable colleagues in the continuous growth and skill enhancement environment Modern technology - you will leverage innovative technologies and tools, within an environment that empowers you to contribute ideas and take ownership of your work Impactful projects - you will contribute to groundbreaking projects that redefine industry standards and create tangible value Commitment to quality - you will join a dynamic and progressive organization that prioritizes profitable, long-term product development Location We are remote-friendly, but we find great value in being able to connect with our teams in person. For this role, you’ll collaborate closely with our Senior Data Engineer, who is based in Stockholm. Sounds interesting? If you want to be part of a successful team, we encourage you to apply for this position as soon as possible. We look forward to hearing from you! How to apply To apply, just upload your CV and answer the questions on the application form. Keep in mind that we can't accept applications through email because of GDPR, and only applications submitted via the career site (and in English) will be considered. At Natural Cycles we value diversity and inclusion because we know that teams with people from different backgrounds and experiences are stronger. We welcome candidates from all walks of life and are committed to creating an inclusive environment for all employees and candidates. Note: We are not looking for consultants or help from recruitment agencies
Data Engineer
If you’re looking to make the best co-op games in the world, you’ve come to the right place. We're proud to have some of the best game makers and collaborators in the industry working with us. What's more, we're a fun bunch of game developers, who love to indulge in our passion for video games together. Our games are not for everyone. Are they for you? We are now looking for a Data Engineer! As a Data Engineer, you will play a key role in the design, optimization, and operation of our data infrastructure and backend systems. You will work closely with a collaborative team of engineers, focusing on technologies such as SQL Server, Azure Data Factory, Azure, C# and ASP.NET Core. If you are passionate about building scalable, efficient, data-driven backend solutions, we want to hear from you. Who you are: You have experience tuning all aspects of SQL Server, including query and execution-plan analysis and know exactly where to place the right index. Your savvy troubleshooting skills include identifying and mitigating locking and concurrency issues. You know what is important when it comes to observability and monitoring, what needs acting on as well as identifying blind spots. You are comfortable automating and orchestrating repetitive tasks such as reports and data exports. You are experienced with data classification and different retention needs. You have experience in backend development using C# and ASP.NET Core. You are familiar with cloud platform providers such as Azure and their data infrastructure services. What you'll do: Database management: Design and implement efficient database structures using SQL Server, optimizing data storage, and retrieval for optimal system performance. Database operations: Ensure database operations under sustained production load are healthy and performant, supporting both players, designers and fellow developers in their day-to-day activities. Database observability: Create and maintain alert rules, the SQL metrics exporter, Grafana dashboards, and Extended-Events-based performance diagnostics. Data pipelines: Operate and evolve the Azure Data Factory pipelines, maintenance, and telemetry events. Application development: Design and develop backend solutions using C#, ASP.NET Core, and Microsoft Orleans, ensuring high performance, scalability, and maintainability. Cloud integration: Utilize Azure services to build and optimize cloud-based backend components, ensuring seamless integration with our applications. Collaboration: Work closely with cross-functional teams and external stakeholders to understand requirements, provide technical insights, and ensure the successful delivery of projects. Our tech stack Azure SQL Server, Azure Data Factory, NET/C#, ASPNET Core, Docker, Kubernetes/AKS, CosmosDB, Redis, Grafana, MS Orleans, Kafka How to apply If you think that this position matches your background and skills, we would love to hear from you. Please submit your CV in English as soon as possible. We ask that your application always include relevant work samples or a link to your portfolio. We interview candidates continuously and hire when we find a good fit. Practical Information Scope: Full-time: 40 hours per week with initial 6 month probation period. Location: Office first. We are a pet friendly office! You can expect to find cute dogs and occasionally some cats around. What we offer Arrowhead Game Studios is a growing team of about 140+ people, best known for our co-op titles. Despite our size, we remain a friendly and down to earth bunch, who love to indulge in our passion for video games together. Located in the heart of Södermalm, in Fatburen in the middle of the Game Dev scene we enjoy everything Stockholm has to offer. The is a a lot of different types of activities immediately available on our doorstep. Our talented developers are crucial to our success, therefore we put a lot of emphasis in creating and maintaining a prosperous culture. We’re committed to open and transparent communication. Your ideas are welcomed, valued, appreciated - the ceiling for creative discussions is high. We also have numerous work benefits for all our employees. You can read about them here! Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
Senior Data Engineer / Databricks Champion
Do you want to play a key role in building a modern data platform that enables analytics and AI at enterprise scale? We are looking for a Senior Data Engineer with deep Databricks expertise to join a high-performing platform team. This is an opportunity to combine hands-on engineering with platform development, architecture, and technical enablement in an environment where you'll have a real impact on both technology and ways of working. About the Role As part of a central platform team, you will help build and evolve a modern cloud-based data platform used by multiple development teams. This is not a traditional Data Engineer role focused solely on pipelines—you will contribute to creating reusable frameworks, improving the developer experience, and enabling other teams to succeed. Your responsibilities will include: Developing and improving data ingestion and data product frameworks. Designing and implementing scalable data governance and access control using Unity Catalog. Acting as the go-to Databricks expert, supporting and coaching development teams. Evaluating and introducing new Databricks capabilities to continuously improve the platform. Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI. We Believe You Have Several years of experience working as a Data Engineer with Databricks in production environments. Strong expertise in Apache Spark, Python, and SQL. Experience with Unity Catalog, data governance, and modern data platform architecture. A background in building reusable frameworks and platform components. The ability to collaborate with engineers, architects, and stakeholders across different teams. Strong communication skills and a passion for knowledge sharing and technical coaching. Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage. Who You Are You're a collaborative and curious engineer who enjoys solving complex technical challenges while helping others succeed. You take ownership, think long-term, and thrive in environments where you can influence both technical direction and engineering practices. What We Offer A key role in shaping a modern enterprise data platform. The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI. A collaborative environment with highly skilled colleagues and short decision-making paths. Significant technical ownership and the opportunity to make a lasting impact. Interested in learning more? Get in touch with us. We'd love to hear from you and tell you more about the opportunity to join an organization where technology, continuous learning, and innovation are at the heart of everything we do. This recruitment is managed by EdZa Group. If you have any questions about the role or the recruitment process, please don't hesitate to contact tyra.nguyen@edzagroup.se.
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