Data Engineer

Prattwhitney
Warminster
1 day ago
Create job alert

Data Engineer page is loaded## Data Engineerlocations: Warminster, Wiltshiretime type: Full timeposted on: Posted Todayjob requisition id: 01828622Date Posted:2026-03-10Country:United KingdomLocation:Warminster, WiltshirePosition Role Type:HybridRaytheon UK is searching for a Data Engineer to join our OMNIA(R) 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 leaveRaytheon 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.RTXRaytheon
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.