Data Engineer - Security & Intelligence

Salary: £85,000 - 85,000 per year Requirements: • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. • Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. • Experience working with cloud-native data platforms, with strong expertise in AWS and native data services. • Familiarity with Infrastructure as Code and modern cloud-native data architectures. • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. • The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. • It is anticipated the role will require up to 80% onsite working at client locations in Gloucester, London, or Manchester, based on project requirements. Responsibilities: • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. • Engineer high-performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. • Optimise data storage and processing architectures to support high-performance analytical environments. • Contribute to DevSecOps and cloud-native delivery, including automated deployment, infrastructure provisioning and containerised environments. • Support the ongoing operation, observability and resilience of production data platforms. • Work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Technologies: • AI • AWS • Big Data • CI/CD • Cloud • DevSecOps • DevOps • Docker • ETL • Hadoop • Support • Java • Kubernetes • Machine Learning • Python • SQL • Scala • Security • Spark • Backbone More: We are Envitia, operating at the heart of the UKs most sensitive and high-profile operations. We deliver mission-focused situational awareness and information advantage across C5ISR, fusing cyber, geospatial and kinetic data into secure-by-design operational intelligence. We work in small, agile teams to deliver fast value and measurable outcomes, and we have been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025. We offer 25 days of annual leave plus your birthday off, the option to buy or sell up to 5 extra days, private medical insurance with family options, a security clearance bonus of up to £5,000 per year, ongoing training and development, a fitness reimbursement scheme, life assurance, pension options, Perkbox discounts, reward and recognition, and paid volunteering days. The role is anticipated to require up to 80% onsite working at client locations in Gloucester, London, or Manchester, based on project requirements. We are committed to inclusion, accessibility and work-life balance. last updated 42 week of 2026