Data Engineer
We usually respond within a week
TL;DR
→ You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible.
→ Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing.
→ You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack.
→ Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way.
What you'll do
As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture.
You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack.
A few examples of what this looks like in practice:
Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need.
Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases.
Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models.
The bar for what "done" means here is high: production-grade, observable, secure and used.
What you get
Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five.
Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them.
Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued.
People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one.
The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling
Who you are
You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver.
We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters.
What you bring
A background in Computer Science, IT, Engineering or equivalent university degree
Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles
Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant)
Solid understanding of data structures, modeling and processing
Familiarity with data architectures like Lakehouse and Medallion
AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work)
Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills
About Redeploy
Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.
Enjoy the ride – and great benefits
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Work-Life Balance
Hybrid work options, generous vacation, and enhanced parental leave.
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Financial Security
Occupational pensions, private medical insurance, and life assurance.
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Wellness Perks
Wellness allowances, team-building events, and healthcare support.
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Career Growth
Certifications, conferences, and internal career paths.
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Tech Freedom
Choose the tools and technologies you need to thrive.
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Have fun
Team events, informal clubs, and moments that make work more than just a job.
The hiring process
Selection
Once we receive your application, our Talent Team reviews it to assess your background and experience.
First point of contact
If there's a potential match, we'll reach out by email or phone to set up a first call. Keep an eye on your inbox.
Keep an eye on your inbox (and spam folder!) so you don’t miss us.
TA-Screening
Your first conversation is with someone from our Talent Team. We'll cover your background, what you're looking for and how the role fits. You'll also get a clear picture of how we work at Redeploy and there's always time for your questions.
In-depth interview
Next, you'll meet the manager for the area. Together, you'll go deeper into how we work, what kind of assignments you'd be involved in and what the day-to-day actually looks like. It's also a chance for both sides to assess the match: background, way of working and team fit.
Skills interview
This is where we look more closely at how you think and work. Depending on the role, you'll walk through a case, discuss real scenarios or talk us through your approach to a problem. You'll also get a better sense of how we collaborate and what it's like to work at Redeploy day-to-day.
Final interview
In the final step, you'll meet one of our managers. The conversation focuses on your goals, how you want to develop and what we expect from the role. You'll also get a full picture of our offer: compensation, benefits and what comes next. The aim is that you leave with no open questions.
Offer & pre-boarding
If it feels right on both sides, we take references and move forward with an offer. Once the contract is signed, we set a start date and kick off pre-boarding. Before day one, we make sure you're set up and we invite you to team activities so you're already part of the team before you walk through the door.
Answers to your Questions
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We rock a hybrid work model that gives you the best of both worlds: on-site when necessary, remote when it works. Your well-being is our top priority. Need extra time at lunch to run errands, hit the gym, pick up the kids or do something good for the planet? No problem.
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To keep things secure and make sure the right person sees your application, we stick to GDPR rules. So, please use the application form on our career site or any site listing our positions.
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Absolutely. We usually run talent programs and offer internships. Keep an eye on our careers page and LinkedIn for upcoming opportunities. Also, feel free to connect with us on our Connect page and show your interest here
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Let’s break it down. "Redeploy" means to move or rearrange something for a better purpose. When we launched, the term wasn't really a thing in the data/IT world. Now, it's all about taking what's already there and setting it up somewhere better. That's exactly what we do—help our customers spot opportunities and redeploy them into smarter, stronger solutions.
About Redeploy
Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.