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# Senior Data Engineer

- **Company:** MBDA S.A.S.
- **Location:** Manchester, UK
- **Experience:** Expert
- **Salary:** £55,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Virtualization, Data Visualization, DevOps, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), KNIME, PostgreSQL, MATLAB, Microsoft SQL Server, Oracle (Applications), Power BI, DataOps, SQL Databases, SQL Server Integration Services, Data Streaming, Tableau (Software), Snowflake, Apache Spark, Ab Initio, Git, Data Lakes, Kubernetes, Low-code, Apache Kafka, DO-178B, Dataiku, Docker
- **Published:** June 22, 2026
- **Apply:** https://find.jobs/jobs-near-me/senior-data-engineer-manchester/2830233095-2/

## About the Role

* 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

## Description

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.


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