Data Engineer
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Job Location:
Warminster - UK
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Date Posted:
Country:
United KingdomLocation:
Warminster WiltshirePosition Role Type:
UnspecifiedData Engineer
Be at the forefront of transforming British Army training.
About us:
At OMNIA Training weve brought together some of the UKs most innovative defence training organisations under one powerful mission: to transform the British Armys training system and create the best-trained Army in the world.
OMNIA are redefining the British Armys 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. OMNIA is at the heart of the UKs bold Land Industrial Strategy.
The role:
This is more than a job its 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 OMNIAs vision; designing delivering and transforming collective training so the British Army is ready to fight and win.
Youll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately youll 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 teamsincluding 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:
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 programmes 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.
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.
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.
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IC
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