Senior Data Engineer

Stevenage

Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates:
Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions.

Salary: Circa £55,000 depending on experience

Dynamic (hybrid) working: 2 days per week on-site due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

• Company bonus:
  Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave:
  Up to 15 additional days
• Flexible working:
  We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave
  -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities:
  Fantastic site facilities including subsidised meals, free car parking and much more

In this role you will design enterprise-wide data and BI solutions brought together from varied sources — business data, simulators, missile test systems, shop‑floor machines — and then turning them into a governed, value‑generating asset.

• 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, lake houses, 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 Data Ops: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on‑prem environments.

• 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, Timescale DB.
• 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.
• Dev Ops/Data Ops:
  Git, Docker, Kubernetes, CI/CD.
• Awareness of DO‑178C, ISO 27001, MOD guidelines appreciated.

• Transverse mindset
• Autonomy and ownership
• Strong collaboration across multidisciplinary international teams
• Pragmatic problem‑solving