At a Glance
- Tasks: Design and implement scalable data platforms while ensuring data security and compliance.
- Company: Join Raytheon, a leader in innovative military training solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact on military training by shaping the future of data engineering.
- Qualifications: Experience in data engineering, cloud platforms, and strong programming skills.
The predicted salary is between 50000 - 70000 £ per year.
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 a matrix organisation, with multi-disciplinary teams within Engineering.
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.
- Collaborate with engineering, simulation, customer, third party and training teams to ensure seamless data management and integration across military training environments.
- Ensure the security and compliance of data environments through the implementation of appropriate security controls and governance frameworks.
- 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.
- 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.
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.
- 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.
- 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.
- Proven track record with data governance, quality, lineage, and security practices.
- Experience with real-time/streaming data technologies, data ingestion / ETL.
- Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
- Deep knowledge of data transformation and ETL pipelines and APIs.
- Degree in Data Engineering or equivalent professional accreditation such as CEng.
- Experience with graph databases and advanced query languages.
- Knowledge of machine learning data pipelines and MLOps practices.
- Familiarity with data virtualisation and data mesh concepts.
- 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.
- Azure Data Engineer Associate, AWS Certified Data Engineer, IBM Data Engineering Professional Certificate or similar.
