Senior Data Engineer

Experteer Overview In this role you design enterprise-wide data and BI solutions by integrating diverse data sources from simulators, test systems, and production environments to create governed, value-generating data assets. You will work across engineering, simulation, production, quality, and corporate functions to deliver end-to-end data solutions and drive DataOps in hybrid/on-prem settings. This position blends advanced analytics with compliance to defence requirements, offering impact across multiple directorates. You will collaborate with cross-functional teams to transform data into actionable insight and strategic decision support. Pay / Benefits * Capture needs and deliver end-to-end data solutions across technical and business domains * Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM * Architect data lakes, warehouses, lakehouses, and time-series stores * Develop Power BI analytics for self-service, KPI monitoring, and executive reporting * Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity) * Drive DataOps: CI/CD, monitoring, CaaS (Container as a Service) integration model on hybrid/on-prem environments Tasks * Experience in data engineering, ideally aerospace/defence or industrial sectors * ETL/ELT tools (Airflow, Azure, Microsoft SSIS) * Streaming (Spark, Kafka) * Strong Python and SQL; C++, C#, or MATLAB a plus * Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB * Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) * T/OT integration, Industry 4.0 * DevOps/DataOps: Git, Docker, Kubernetes, CI/CD * Awareness of DO-178C, ISO 27001, MOD guidelines appreciated Key requirements * Bonus up to £2,500 * Pension contributions up to 14% * Overtime opportunities * Flexi Leave up to 15 days * Flexible working arrangements * Enhanced parental leave up to 26 weeks

executive reporting * Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity) * Drive DataOps: CI/CD, monitoring, CaaS (Container as a Service) integration model on hybrid/on-prem environments Tasks * Experience in data engineering, ideally aerospace/defence or industrial sectors * ETL/ELT tools (Airflow, Azure, Microsoft SSIS) * Streaming (Spark, Kafka) * Strong Python and SQL; C++, C#, or MATLAB a plus * Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB * Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) * T/OT integration, Industry 4.0 * DevOps/DataOps: Git, Docker, Kubernetes, CI/CD * Awareness of DO-178C, ISO 27001, MOD guidelines appreciated Key requirements * Bonus up to £2,500 * Pension contributions up to 14% * Overtime opportunities * Flexi Leave up S _ 15 days * Flexible working arrangements * Enhanced parental leave up to 26 weeks