Analytics Engineer
We usually respond within a week
TL;DR
→ You own the analytics layer — data models, semantic logic, visualization and how insights reach the business.
→ Consultant role across the Nordics, with clients spanning industries form financial services to manufacturing.
→ You work alongside Data Engineers and Cloud Engineers, 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 an Analytics Engineer, you’ll shape how organizations actually use their data. That means understanding how a business operates, designing the models and logic that reflect it, and making sure the output is something people trust and act on.
You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. That includes the visual layer: how dashboards are designed, how reports feel to use, and how data is communicated so it drives action. You'll work as a consultant in cross-functional delivery teams alongside Data Engineers and Cloud Engineers, each owning a distinct layer of the stack. Your layer is where raw data becomes reliable, structured insight, and where that insight is made visible.
A few examples of what this looks like in practice:
Migrating a client's legacy reporting environment into Microsoft Fabric, replacing scattered Excel files and static reports with semantic models and curated datasets the business actually trusts.
Designing a dimensional model for a sales organization where every market had its own definition of "revenue," turning five versions of the truth into one.
Standing up self-service analytics for a logistics company so operational teams can explore data on their own terms, without routing every question through a single BI person.
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 analytics engineers see in five.
Work that's hard to come by elsewhere. Traditional BI is being rewritten, and AI is doing a lot of the rewriting. Here, you shape what comes next: how semantic models, reporting logic and self-service analytics work when AI is embedded in the workflow. This isn't about adding a chatbot to a dashboard. It's about rethinking how insight is structured, delivered and consumed.
Your direction, your call. Go deeper into solution and data model architecture, becoming the person teams turn to when the modelling problem is genuinely hard. Or move toward client advisory and delivery leadership, guiding engagements and shaping how analytics capability is built from the ground up.
People who make you better. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That energy is what keeps Redeploy 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 enjoy the technical side of analytics, how data should be structured, how logic should be modelled, how a solution holds together over time. You thrive in dynamic environments and translate complexity into clarity.
You're equally comfortable understanding a client's business challenge as you are modelling the data behind it. You take ownership of the requirements process, guide clients through transformation, and use AI as a natural part of your toolkit, not as something you're planning to explore.
What you bring
Experience with Azure, Microsoft Fabric or a comparable modern data stack
Strong SQL skills for modelling and transformation
Hands-on Power BI experience, (data modelling, DAX and dashboard design with a focus on report UX and clear data communication)
Understanding of data modelling patterns: dimensional, lakehouse, medallion
Active use of AI in daily work (AI-assisted development tools like Claude Code, Codex or similar)
Strong plus: dbt or similar transformation frameworks, Git-based analytics workflows, 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 get your application, our Talent Team will review it—maybe even check out your LinkedIn—to see if you’re a good fit.
You’ll hear back from us within 14 days (or sooner!).
First point of contact
If it looks like a match, we’ll reach out via email or phone to book a first call.
Keep an eye on your inbox (and spam folder!) so you don’t miss us.
TA-Screening
Your first meeting will be a video call with our Talent Team. It's our chance to learn more about you and how your skills fit the role.
We'll also share what life at Redeploy is like and leave time for your questions.
In-depth interview
Next up, you’ll meet the competence lead for the role. Together, you’ll dive deeper into how we work, the kinds of projects you may join and what the day-to-day actually looks like.
It’s also a chance for both sides to explore the match – role, consulting style and team fit – and see if this feels like the right next step.
Skills interview
Here we get a closer look 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 challenges.
You’ll also get a feel for how we collaborate at Redeploy and what it’s like to be part of the team.
Final interview
In the final step, you’ll meet one of our consulting managers. This is a chance to talk about your goals, how you want to grow and what we expect from the role. The manager will also walk you through our offer so you get a clear picture of perks, benefits and compensation.
By the end of this step, the aim is that any remaining questions are answered and that you have a solid sense of what joining Redeploy would look like.
Offer & pre-boarding
After the final interview, we make a decision together. If it feels right on both sides, we take references and move forward with an offer. Once everything is in place and the contract is signed, we set a start date and get your pre-boarding going.
Before your first day, we make sure you’re fully set up with the basics you need and we invite you to team activities so you can start feeling part of Redeploy before you even 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 a powerhouse of cloud, data, and AI expertise. Our certified strategists, architects, developers, and engineers craft and implement cloud-native solutions, from the initial vision and strategy to developing, migrating, and managing cloud environments. Our teams across Sweden, Lithuania, and Poland assure enterprises of a comprehensive and integrated approach to their journey, focusing on reliable, secure, and efficient solutions. For more information, go to redeploy.com/about