Job Description
hackajob is collaborating with Raytheon to connect them with exceptional professionals for this role.
As a Data Engineer, you will be critical to the successful delivery of the programme, collaborating within matrix organisation, with multi-disciplinary teams within Engineering.
We are looking for individuals who want to serve. You’ll have a mission focus, and the enthusiasm and drive to deliver. You must be eligible and willing to obtain SC clearance and will be based at Warminster working in a hybrid style.
You’ll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you’ll work for the British Army, championing innovation, and helping shape the future of military collective training.
Key Responsibilities
•
Ensuring the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks.
•
Author, review and contribute to technical documentation
•
Assist in the design and implementation of scalable, high-performance data platforms and pipelines
•
Implement the design and optimisation of data storage, processing, and retrieval strategies
•
Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools).
•
Act as a subject matter expert in data strategy, influencing design decisions
Who we are looking for
The OMNIA Data Engineer will provide hands-on technical oversight and management across the Army Collective Training Service (ACTS) data solutions. These will be prominently MODCloud hosted utilising Cloud Services from AWS, Azure, OCP where appropriate. Reporting to the Data Architect, you will play a key role in ensuring the effective design, assurance, transformation, and delivery of data across ACTS services and capabilities. This includes supporting the integration and operational use of data from legacy systems through API-driven solutions.
This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Given the programme’s focus on modelling and simulation, familiarity with relevant standards and technologies is highly desirable.
Strong programming skills in Python, Java, or Scala for data engineering
•
Proven track record with data governance, quality, lineage, and security practices
•
Deep knowledge of data transformation and ETL pipelines and APIs
Familiarity with data virtualisation and data mesh concepts
•
Strong background in performance tuning for high-throughput, low-latency data systems
By continuing you agree to our Terms & Privacy Policy.