We are looking for aSenior Data Engineerto lead end-to-end data projects usingMicrosoft Fabric, Azure Synapse and Power BI, from requirements analysis and data modelling through data engineering, reporting and User Acceptance Testing (UAT).
You will combine hands-on data engineering and BI development with leadership of a small team of2–3 developers, delivering data solutions across multiple business areas.
Tasks and ResponsibilitiesLead end-to-end data projects, translating business requirements into scalabledata models, pipelines and Power BI solutions ; Develop data solutions usingMicrosoft Fabric, Azure Synapse, SQL and PySpark ; Design database schemas and implementData Vault and dimensional data models ; Build and maintain complexPower BI dashboards and reports, supporting UAT and production deployment; Develop and optimize data pipelines, data quality controls, SQL queries and processing workflows; Ensure solutions meet requirements for performance, scalability, security and data governance; Lead a small team of developers, coordinating priorities, workload and technical delivery while providing mentoring and guidance; Collaborate with architects, data scientists, analysts and business stakeholders and promote data engineering and self-service analytics best practices.




ProfileBachelor's or Master's degree; 7+ years of progressively responsible experience in data engineering, with a strong focus on data modelling; 4+ years of experience in data engineering with Microsoft Fabric or Azure Synapse and report development with Power BI ; Strong expertise in theMicrosoft data stack, particularly Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics and Power BI; Proven experience implementingData Lake and Data Lakehouse architecturesand working with large datasets and data pipelines; Strong experience withData Vault and dimensional data modelling ; Proficiency inSQL and Python, with experience developing data solutions using PySpark; Experience with data governance, data security, Azure cloud architecture and CI/CD for data workflows; Proven experience leading a data, data science or similar technical team, including direct reports, mentoring and technical project delivery; Experience developingPower BI reports, including Paginated Reports or SSRS.
Experience withApache Spark, Databricks, Snowflake, Azure DevOps, big data technologies, AI-assisted development or AI/ML techniqueswould be an advantage.
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📌 Lead / Senior Data Engineer – Microsoft Fabric & Power Bi – Remote Europe (Madrid)
🏢 All European Careers BENELUX
📍 Madrid