Data Platform Manager - Microsoft Fabric

About the role

Destinus builds advanced UAVs across three European plants and is looking for a Data Platform Manager to own its company data platform, built on Microsoft Fabric. The platform unites data from the company's systems and feeds the reporting and data agents used by production, supply chain, program management and finance. You will own its architecture, lead a small team of data engineers and lay the foundation for the company's AI ambitions.

Key responsibilities

• Own the Microsoft Fabric estate end to end: OneLake, lakehouses, bronze/silver/gold layers, workspace and domain structure, naming conventions and standards.
• Lead, mentor and grow a small team of data engineers, set priorities, review code and raise the technical bar.
• Build pipelines, notebooks and Delta tables yourself, not only direct others.
• Own the integrations that land data in OneLake from ERP, HR, shopfloor, quality and other sources, choosing between Data Factory pipelines, dataflows, shortcuts and mirroring.
• Own the gold layer and semantic models so Power BI reads from one governed source.
• Work with Business Operations & Data Specialists to turn their requirements into gold tables and agree definitions.
• Maintain lineage across the estate so dependencies are visible and auditable.
• Build the data foundation for the AI programme: lakehouse structures, pipelines and the knowledge graph behind the data agents and Company Brain.
• Design and maintain the OneLake security and access model, and keep the platform reliable, observable and cost-aware.

Required profile

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering or a related field.
• 5-8 years of data engineering experience, including ownership of a lakehouse architecture.
• Experience leading engineers, formally or as a technical lead; a first step into people management is welcome.
• Proven integration experience with ERP systems such as Microsoft Dynamics 365 / MSD, APIs, flat-file landings and CDC from operational databases.
• Experience in aerospace or another regulated industry, or in a start-up or scale-up, is an advantage.
• Fluent English; additional European languages are a plus.

Required skills

• Strong command of the medallion pattern and Delta Lake in practice.
• Hands-on Microsoft Fabric: OneLake, lakehouses, Delta tables, SQL analytics endpoint, Data Factory pipelines, Spark notebooks, semantic models in Direct Lake mode (Azure Synapse, Databricks or Data Lake Storage Gen2 experience moving to Fabric is taken seriously).
• Strong SQL, solid PySpark and pipeline orchestration.
• Dimensional modelling and understanding of the semantic layer for Power BI.
• Lineage, data governance and access control; exposure to Microsoft Purview is a plus.
• Interest in the data foundations behind AI assistants, retrieval and knowledge graphs.