Data Engineer in Frimley

BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.

We are looking for an experienced Data Engineer to join our Digital Defence Services team following continuous growth and success. Within Digital Defence Services, we are a critical partner to the UK Ministry of Defence in their adoption of secure digital solutions that enable multi-domain integration and data exploitation, which provides the advantage to those who serve and protect us.

Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the public sector provides diverse opportunities for our people to develop their careers in new areas and with new clients.

• Design, develop, test and support data collection, data integration and ETL applications to make information and data available.
• Model data requirements, data sources and data flows to bring order and structure to programmes of work.
• Define how and where data is created, mastered and destroyed to ensure proper control over the lifecycle of corporate data assets.
• Use a variety of open-source products that can be used to collect, integrate, store, visualise and govern data and metadata.
• Define metadata to provide search ability and governance (including Records Management) for unstructured data.

• You bring a strong background in data engineering, data analysis, or data science, with hands-on programming experience (Python, SQL, or similar).
• You are confident building scalable data pipelines and integrating diverse data sources.
• You have practical experience with data engineering and ETL tools, such as Apache NiFi, and you are comfortable deploying and managing containerised applications using Docker.
• You have worked with search and analytics platforms such as OpenSearch to enable fast, scalable data querying and exploration.
• You have experience developing or interacting with APIs, ideally using frameworks like FastAPI, to support data services or integration points.
• You are adaptable and quick to learn new technologies as data ecosystems evolve, with a solid understanding of open-source tools and their trade-offs compared to proprietary solutions.
• You are curious and proactive, always looking to optimise data workflows and improve data quality, while keeping data governance and security top of mind.
• While experience with cloud platforms and modern data architectures is a plus, your growth mindset and eagerness to expand your skills are what truly stand out.

Due to the nature of our business and requirements of this role, you will need to hold a MoD/Partner DV and be a UK National.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK.

Life at BAE Systems Digital Intelligence embraces Hybrid Working, allowing for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.

Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds can work together to achieve excellence and realise individual and organisational potential.