Warminster based, hybrid working. Be at the forefront of transforming British Army training.
At OMNIA Training, we bring together the UK’s innovative defence training organisations to transform the British Army’s training system and create the best‑trained Army in the world. Omnia is at the heart of the UK’s bold Land Industrial Strategy.
The role
This is more than a job — it’s a mission. You will be part of a high‑impact, collaborative environment where everyone lives the values and standards of the British Army. Every team member 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 will work in a matrix organisation, reporting operationally through OMNIA Training and functionally through the Chief Engineer, ultimately championing innovation for the British Army.
Key Responsibilities
* Collaborate with engineering, simulation, customer, third‑party and training teams to align data solutions with business needs.
* Provide oversight and advice to engineers designing data models and manage data dictionaries.
* Ensure the security and compliance of data environments through appropriate architecture principles, security controls and governance frameworks.
* Author, review and contribute to technical documentation.
* Assist in the architecture, design and implementation of scalable, high‑performance data platforms and pipelines.
* Continuously improve data systems through profiling, testing and automation.
* Define and enforce data engineering standards and best practices, including data lifecycle design, transformation and management.
* Produce high‑ and low‑level design artifacts for data storage, processing and retrieval systems.
* Stay current with data technologies, making recommendations for use based on business value and drive their adoption.
* Serve as the Subject Matter Expert for the Omnia Data Lakehouse, providing strategic guidance, technical oversight and deep expertise in its architecture, implementation and optimisation.
* Collaborate, design and review with stakeholders the data required for ingestion into the data lake.
* Collaborate, assist in the design and review with stakeholders for analytics dashboards to drive business value from the data lake.
Essential Skills and Experience
* Hands‑on experience with cloud platforms (AWS, Azure, GCP, OCI) and cloud‑native data services such as S3, Lambda, Glue, Data Factory.
* Experience designing and building large‑scale data pipelines, data warehousing and Lakehouse technologies.
* Strong expertise in SQL for data querying, transformation and optimisation.
* Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).
* Previous experience with Python and Java for data engineering.
* Hands‑on experience with data orchestration and workflow management tools (e.g., Airflow, Dagster, Prefect).
* Experience with API management and gateway tools and services.
* Experience of RESTful APIs for ingesting and exposing data.
* 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, NiFi, Kinesis, Pub/Sub).
* Experience with DevSecOps tooling and processes.
* Strong strategic business acumen and the ability to identify solutions to deliver that strategy.
* Self‑starter with the ability to prioritise and plan complex work in a rapidly changing environment.
* Strong critical thinking and problem‑solving aptitude.
* Working knowledge of MoD or Government IT security environments and requirements at various classifications.
* Holder of current SC clearance, or the ability to gain it.
Desirable Skills and Experience
* MSc 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, 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 candidates will be conditional upon award expected December 2025.
What we offer
* Be part of a groundbreaking mission within the UK’s most advanced defence training alliance.
* Work in an inclusive, high‑performing team that celebrates ideas, supports growth and is laser‑focused on delivering results.
* Collaborate across multiple organisations united in one mission.
* Operate across organisations with a shared goal of improving capability across all domains.
* Champion innovation and continuous improvement with a growth mindset.
* Play a crucial role in a long‑term, future‑facing programme with real‑world impact on national defence.
* Enjoy a strong benefits package, ongoing development opportunities and clear pathways to progress within a trusted defence industry partner.
Equal Employment Opportunity
Omnia Training and its partners are proud to be an equal opportunity employer. We welcome applicants of all backgrounds and identities — what matters is your passion, expertise and dedication to the mission.
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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