Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Date Posted:
2026-03-10
Country:
United Kingdom
Location:
Warminster, Wiltshire
Position Role Type:
Hybrid
Raytheon UK is searching for a Data Engineer to join our OMNIA® Training team.
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.
OMNIA are redefining the British Army’s collective training. To do that, we are looking for the best and brightest minds from across the UK. We are backed by British innovation and powered by world-class experts, like you.
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.
The role:
This is more than a job — it’s a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA’s vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.
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:
Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments.
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.
Coordinate with cross-functional engineering teams—including QA, development, operations, and business SMEs.
Assist in the design and implementation of scalable, high-performance data platforms and pipelines.
Define and enforce data engineering standards, best practices, and governance frameworks including data lifecycle design, implementation and management.
Implement the design and optimisation of data storage, processing, and retrieval strategies.
Collaborate with cross-functional teams (data scientists, analysts, software engineers) to align data solutions with business needs.
Drive adoption of modern data technologies (e.g., cloud-native platforms, streaming, orchestration tools).
Contribute to data quality, security, compliance, and lineage practices across the organisation.
Provide technical input and guidance to data engineering team members.
Evaluate, select, and integrate new tools, frameworks, and platforms for the data ecosystem.
Act as a subject matter expert in data strategy, influencing design decisions.
Any other duties required to meet the needs of the programme.
Who we are looking for:
We’re after individuals who want to serve. You’ll have a mission focus, and the enthusiasm and drive to ‘get things done’. You’ll want to work in collaboration with other defence training organisations, and the British Army. You won’t let bureaucracy get in the way of what needs to be done, you’ll learn lessons and share these lessons across the team, you’ll understand what it means to put the mission first.
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.
Essential Skills and Experience:
Hands-on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services.
Extensive experience designing and building large-scale data pipelines and platforms.
Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL).
Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).
Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.
Strong programming skills in Python, Java, or Scala for data engineering.
Hands-on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect).
Proven track record with data governance, quality, lineage, and security practices.
Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).
Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
Deep knowledge of data transformation and ETL pipelines and APIs.
Security cleared or ability to obtain (SC or above).
Desirable Skills and Experience:
Degree in Data Engineering or equivalent professional accreditation such as CEng.
Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin).
Knowledge of machine learning data pipelines and MLOps practices.
Familiarity with data virtualisation and data mesh concepts.
Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift and Ceph).
Exposure to infrastructure-as-code tools (Terraform, CloudFormation).
Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).
Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.
Strong background in performance tuning for high-throughput, low-latency data systems.
Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
Formal offers to successful candidate will be conditional upon award *
What we offer:
Chance to join a groundbreaking mission - to shape the future and drive innovation within a team focused on collaboration across a matrix organisation.
You will join at a unique time, where you can join in shaping this team and be rewarded with ongoing development opportunities, and clear pathways to progress within a trusted defence industry partner.
37hr working week with early finish Fridays - start your weekend early!
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days and up to 5 paid days volunteering
10.5% company pension contribution with 6% employee contribution
Annual company bonus scheme (discretionary)
6 times salary Life Assurance with pension
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work, amongst others
Enhanced sick pay
Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
Raytheon UK
We take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
RTX
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon.
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.