Senior Data Engineer

We are looking for a Senior Data Engineer to join our Group Analytics enabling team.This role is pivotal in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction.Location Valencia, Spain - hybrid Gothenburg, Sweden - hybrid Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform.Work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices.What You'll Do Help design, build, and evolve our Microsoft Fabric-based global data platform, including scalable pipelines, lakehouse patterns, and analytical data models.Develop reusable engineering standards, templates, and governed data objects that enable domain teams to build and manage data products.Apply modern engineering practices such as Git, CI/CD, monitoring, documentation, testing, and infrastructure-as-code principles such as Terraform.Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery.Work closely with enterprise architects, data engineers, data analysts, data scientists, business stakeholders, and domain teams.Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions.What You Bring Senior-level data engineering experience with strong hands?on delivery, architectural understanding, and ability to design scalable platform solutions.Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake.Experience with production?grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain?oriented data design.Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure?as?code principles such as Terraform.Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling.Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions.Why Join Us You will help shape the foundation for how data is managed, governed, and used across the organization, building a platform that is scalable, secure, automated, metadata?driven, and ready for future AI and agent?enabled ways of working.Your work will influence platform architecture, establish reusable engineering patterns, and empower domain teams to become more self?sufficient.Vitrolife Group is an equal?opportunity employer.We welcome and encourage applications from people with disabilities.The role is full?time and headquartered in Gothenburg, Sweden or Valencia, Spain.Reports to: Head of Analytics.Team: IT - Group Analytics.Employment type: Full?time, hybrid.#J-*****-Ljbffr

What You Bring Senior-level data engineering experience with strong hands?on delivery, architectural understanding, and ability to design scalable platform solutions. Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake. Experience with production?grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain?oriented data design. Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure?as?code principles such as Terraform. Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling. Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions. Why Join Us You will help shape the foundation for how data is managed, governed, and used across the organization, building a platform that is scalable, secure, automated, metadata?driven, and ready for future AI and agent?enabled ways of working. Your work will influence platform architecture, establish reusable engineering patterns, and empower domain teams to become more self?sufficient.