> Markdown version of [/jobs/ext/3164487-data-engineer-microsoft-fabric](https://www.wearedevelopers.com/jobs/ext/3164487-data-engineer-microsoft-fabric). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Microsoft Fabric) - **Company:** MultiTankcard - **Location:** Schiphol-Rijk, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Continuous Integration, Extract Transform Load (ETL), DevOps, Python (Programming Language), SQL Databases, Transact-SQL, Data Logging, Data Ingestion, Git, Microsoft Fabric, Data Lakes, Pyspark, Software Version Control, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c3da661c3f84cfaf ## About the Role * 3+ years of hands-on experience building data ingestion and ETL pipelines. * Strong knowledge of SQL/T-SQL and PySpark/Python. * Experience with Delta Lake and medallion-style architectures, including incremental load patterns. * Enough understanding of the analytics and semantic modelling side to know what good, business-ready data should look like. * Communication and stakeholder management skills, with bachelor's-level thinking and working ability gained through education or experience. * Bachelor's degree level or equivalent working and thinking ability Nice-to-have * Fabric capacity management and cost control * DP-700 (Fabric Data Engineer Associate), or willing to obtain * Experience re-implementing logic from another SQL dialect (we're migrating from Exasol) * DevOps practices: Git-based CI/CD, testing and version control ## Description * Build and maintain reliable data pipelines in Microsoft Fabric, from source systems, APIs and files through to the Gold layer. * Shape and maintain the medallion architecture across Lakehouse and Warehouse environments. * Develop scalable transformations using PySpark, Python and T-SQL. * Keep the platform healthy and reliable through monitoring, logging, alerting and troubleshooting. * Manage Fabric capacity, performance and cost as the platform grows. * Help establish strong engineering standards around CI/CD, security and governance.