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.
What we can offer you
- 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…
The opportunity
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.
Key Responsibilities
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.
Hard Skills
- 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.
Soft Skills
- Transverse mindset
- Autonomy and ownership
- Strong collaboration across multidisciplinary international teams
- Pragmatic problem‑solving
We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.
