About this role
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: AIAWSBig DataCI/CDCloudDevSecOpsDevOpsDockerETLHadoopSupportJavaKubernetesMachine LearningPythonSQLScalaSecuritySparkBackbone 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 34 week of 2026