Data Engineer
£Up to £65,000 GBP
Hybrid WORKING
Location:
London; Norwich; Watford; Colchester; Chelmsford; Woking; Chatham; Slough, Central London, Greater London - United Kingdom
Type:
Permanent
Must Have: Active SC Clearance
Join a world-class organisation delivering mission-critical data solutions for Defence, National Security, and Public Sector programmes.
Our client has been recognised as a Fortune World's Most Admired Company - eight years in a row - thanks to their innovation, integrity, and commitment to excellence. Their dedication to supporting the Armed Forces community has also been honoured with the MoD's Employer Recognition Scheme Gold Award. If you want to work at the intersection of data, security and national impact, this is the place for you.
As a Data Engineer - Defence, you will play a key role in shaping secure, scalable data pipelines that underpin critical national infrastructure and defence systems.
You will collaborate with top-tier engineers, architects, and stakeholders to deliver robust data solutions that support decision-making across Defence, Government and Public Sector clients.
You'll join a people-first, innovation-driven culture where collaboration, continuous learning, and professional growth are encouraged. Every idea matters. You'll help set technical standards, influence project direction, and contribute to a data engineering community that values excellence, security, and reliability.
You'll have the opportunity to:
Interpret and validate data requirements, analyse large-scale structured datasets, and ensure data accuracy and completeness.
Design and implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake).
Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments.
Develop data integration and processing pipelines, ensuring performance, reliability, and governance compliance.
Support and contribute to the development of data management standards and policies, including data anonymisation, governance, and secure data sharing.
Optimise data workflows for speed, cost-efficiency, and reliability.
Engage in research and evaluation of emerging data technologies, contribute to technical strategy, and influence future data engineering roadmaps and architecture.
Key Requirements:
Proven experience as a Data Engineer in complex, secure or regulated environments.
Strong understanding of data management principles including modelling, integration, governance, and data architecture.
Familiarity with modern data architectures and cloud-based / distributed systems.
Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark).
Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies.
Awareness of data governance, data sharing across security domains, and data usage for AI / ML.
Excellent analytical and problem-solving skills; ability to work autonomously and collaborate with customers and stakeholders.
Desirable:
Previous experience working on Defence, national security, or public-sector data programmes.
Familiarity with data standards, compliance, and data-governance frameworks.
Experience in data analytics and visualisation.
Demonstrable interest in ongoing learning, research, and adopting new technologies.
Benefits:
Competitive total compensation package ( TC )
Opportunity to support high-impact Defence and Public-Sector programmes
Professional development and training opportunities
Participation in complex, secure data projects at national scale
Flexible working arrangements (with regular trips to London) and work-life balance
Reference:
AON/SCDevOps
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