IT & Software

Senior Data Engineer

MBDA

Bolton · Greater Manchester · United Kingdom

Overview

In this Senior Data Engineer role, you will design enterprise-wide data and BI solutions drawing from diverse sources to create governed, value-generating assets. You will work across Engineering, Simulation, Production, and other directorates to deliver scalable data platforms and analytics. The role emphasizes DataOps, security, and compliance with defence standards, enabling executive insight and operational excellence. You join a cross-functional, international team shaping data capabilities for complex defence environments.

Pay / Benefits
  • company bonus up to 2500
  • pension up to 14%
  • overtime opportunities
  • flexi leave up to 15 days
  • flexible working arrangements
  • enhanced parental leave up to 26 weeks
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
Key requirements
  • 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 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
  • Transverse mindset
  • Autonomy and ownership
  • Strong collaboration across multidisciplinary international teams
  • ETL/ELT pipelines
  • Data governance, quality, lineage and security
  • Power BI and data visualization

Reference: WJ-747_31164299

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