Data Engineer

Overview

You own the data layer, ingestion, transformation, and modelling that makes analytics, reporting and AI possible. This consultant role spans across the Nordics with clients from financial services to manufacturing. You'll work in cross‑functional delivery teams alongside platform, analytics and GenAI developers, each owning a distinct layer of the stack. Certifications are valued. You have 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. Your work involves hands‑on Python and SQL, heavy on PySpark, grounded in Kimball modelling and lakehouse architecture. You shape what gets built and deliver it with clients.

Examples of work:

• Building a Kafka‑based ingestion framework for a major insurance group, onboarding thousands of tables so downstream teams can 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 QA, 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, optimise workflows and build out analytics models.

The bar for what “done” means is high: production‑grade, observable, secure and used.

What you get

Assignments that accelerate you: Every 6–18 months you’ll be in a new engagement – new industry, new architecture decisions, new stakeholders. You’ll face more distinct technical challenges in two years than most engineers see in five.

Work that’s hard to come by elsewhere: Modern data platforms underpinning enterprise AI are technically demanding. The problems are unsolved, and you’ll help solve them.

Your direction, your call: Want to specialise in Databricks, Spark engineering, platform foundations or analytics engineering? Go for it. Or grow toward Tech Lead or Solution Architect and steer delivery. Both paths are real and equally valued.

People who make you better: The team is passionately about technology. Engineers go deep, follow the space obsessively and stay restless when things stop moving. That’s what makes the company ahead.

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 AWs
• 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 technical and non‑technical stakeholders, and you thrive in a consulting pace, new challenges, contexts and the pressure to deliver. We care more about how you think, build and collaborate than whether your background ticks every box. Whether you come from software development or are new to consulting, we value curiosity and humility.

What you bring

• Background in Computer Science, IT, Engineering or equivalent university degree
• Strong programming skills in Python, solid experience in SQL and Spark, sound understanding of software engineering principles
• Experience with cloud‑based data solutions (Azure preferred, AWS also relevant)
• Solid understanding of data structures, modelling and processing
• Familiarity with data architectures like Lakehouse and Medallion
• AI‑assisted development – you use tools like Claude, Code, Codex in 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.