Data Engineer

Redeploy AB; Stockholms kommun; On-site; SEK 502,200 - 725,400; Full time

Benefits offered by this job

30 days vacation

Private medical insurance

Wellness allowance 5,000SEK

Free breakfast, soda and snacks

Job summary

Redeploy AB is looking for a Data Engineer who will build and manage data platforms essential for analytics, reporting, and AI applications. The role involves hands-on work with Python, SQL, and Spark, while collaborating closely with platform and AI engineers.

You will face diverse technical challenges across various industries in the Nordics, engaging in projects that are both demanding and rewarding. Redeploy offers a dynamic environment with a culture fueled by passion for technology and collaboration.

Enjoy perks like 30 days of vacation, hybrid work setup, private medical insurance, and a wellness allowance.

Qualifications

• Strong programming skills in Python with solid experience in SQL.
• Experience with cloud-based data solutions (Azure preferred).
• Solid understanding of data structures, modelling, and processing.

Responsibilities

• Build the data platforms from raw source systems to production-ready models.
• Work with cross-functional delivery teams alongside platform engineers and AI developers.
• Audit data platforms against best practices and deliver migration plans.

Skills

Programming skills in Python

Solid experience in SQL

Experience with cloud-based data solutions

Strong understanding of data structures

Familiarity with data architectures like Lakehouse

Education

Degree in Computer Science, IT, Engineering or equivalent

Tools

Databricks

CI/CD pipelines

Azure

Job description

TL;DR

• You own the data layer, ingestion, transformation, and modelling 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 build 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 modelling 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 will work in cross‑functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack.

• Build 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, modelling and quality assurance, then scaling for new use cases.
• Audit a manufacturing company's data platform against best practices, deliver a migration plan, then stay on to bring in new sources, optimise workflows and build out analytics models.

What you get

Assignments that accelerate you. Every 6–18 months you’re in a new engagement, with a new industry, new architecture decisions and new stakeholders to earn trust from. You will face more distinct technical challenges in two years here than most engineers see in five. Work that is 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. Go deep technically and specialise in Databricks and Spark engineering, platform foundations or analytics engineering, or grow toward Tech Lead or Solution Architect, steering delivery and building long‑term client relationships. Both paths are real and equally valued.

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 the team consistently ahead and what you’ll feel from day one.

The Perks: 30 days vacation, hybrid work and flexible hours, private medical insurance, pension (ITP1), wellness allowance 5,000SEK, free choice of tools and tech, free breakfast, soda and snacks, yearly gatherings and AW’s, and 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, or 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 an 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, modelling 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 pluses: 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.