Data Engineer - Security & Intellignce

Join the Growth Story at Envitia

Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains.

We deliver situational awareness and information advantage across C5

ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most.

Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success.

We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation.

A career with Envitia enables you to work with mission driven innovation.

We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive.

Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities.

The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications.

The successful candidate will work within multi‑disciplinary agile teams, collaborating with data scientists, software engineers, Dev Ops specialists and mission analysts to deliver production‑grade data solutions.

Typical engagements include:

• Engineering large‑scale data ingestion and processing pipelines
• Designing data lakes and distributed data platforms
• Enabling analytics and AI/ML workloads
• Supporting intelligence data exploitation workflows
• Integrating multiple classified data sources across secure environments

• 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 Dev Sec Ops  and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments.
• Support the ongoing operation, observability and resilience of production data platforms.

• 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…