VITROLIFE SWEDEN AKTIEBOLAG

Senior Data Engineer

VITROLIFE SWEDEN AKTIEBOLAG
SE Göteborg, Västra Götalands län
Onsite 2026-06-19
Estimated salary · Gothenburg
~ SEK 673,742 - SEK 1,044,291
Low
SEK 572K
Median
SEK 674K
High
SEK 800K
Market in Gothenburg · SCB 2025
Estimated net pay
SEK 42,554 - SEK 57,376
/month · 24% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

Job description

At the Vitrolife Group, we work every day to unlock the full potential of science and technology to reduce the barriers towards building a family. Together we help our customers and their patients to fulfill the dream of having a baby. Shape the Platform, Enable Domains, Build for Scale We are looking for a Senior Data Engineer to join our Group Analytics enabling team. This is a key role in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction. You will combine hands-on data engineering with architectural responsibility, helping us build scalable, governed, and automated data platform capabilities. The role is central to our ambition to move from fragmented and manually maintained legacy solutions toward a modern, domain-oriented data platform that enables trusted analytics, self service, and future AI/ML use cases. This is an opportunity for someone who enjoys building for scale, setting technical direction, and enabling others through strong engineering standards, reusable patterns, and practical guidance. Your Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform. You will work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices. You will play an important role in enabling a federated, data mesh-inspired operating model, where domain teams can own and evolve their data products within clear technical and governance guardrails. Depending on your profile, you may also take architectural responsibility for selected platform capabilities, patterns, and technical decisions. Experience from other modern lakehouse platforms, such as Databricks, Spark, or PySpark, is highly relevant where it strengthens your ability to design scalable and automated data solutions. What You’ll Do • Help design, build, and evolve our Microsoft Fabric-based global data plat

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