Remote Data Engineer - Security & Intelligence in Seaham

Salary: £56,000 - 96,000 per year

Requirements

• We require experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL.
• We require hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies such as Apache Spark and Hadoop.
• We require experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools.
• We require experience working with cloud‑native data platforms, with strong expertise in AWS and native data services.
• We require familiarity with Infrastructure as Code and modern cloud‑native data architectures.
• We require experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability and monitoring tooling.
• We require the ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions.
• We require comfort working in secure, regulated or constrained environments, delivering solutions within complex operational settings.
• We require eligibility for an enhanced Developed Vetted / eDV security clearance.

Responsibilities

• We design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data.
• We develop and operate robust data lakes and distributed data processing environments within secure or regulated settings.
• We engineer high-performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems.
• We design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use.
• We build scalable, distributed data processing solutions using modern big data and parallel processing technologies.
• We ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms.
• We collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes.
• We optimise data storage and processing architectures to support high-performance analytical environments.
• We contribute to DevSecOps and cloud-native delivery, including automated deployment, infrastructure provisioning and containerised environments.
• We support the ongoing operation, observability and resilience of production data platforms.

Technologies

• AI
• AWS
• Big Data
• CI/CD
• Cloud
• DevSecOps
• Docker
• ETL
• Hadoop
• Support
• Java
• Kubernetes
• Machine Learning
• Python
• SQL
• Scala
• Security
• Spark
• Backbone
• DevOps

More

We operate at the heart of the UKs most sensitive and high-profile operations, delivering mission-focused solutions that help customers see more, decide faster and act with confidence across complex domains. We provide situational awareness and information advantage across C5ISR by fusing cyber, geospatial and kinetic data into an operational picture, and our secure‑by‑design solutions simplify complex heterogeneous data sources into a rich picture of fused intelligence. We work in small agile teams that deliver fast value, and we have been named one of the Sunday Times Top 100 Medium‑Sized Companies to Work For in 2025. This Data Engineer role sits within our Security and Intelligence consulting team and is based on client locations including Gloucester, London and Manchester, with up to 80% onsite working depending on project requirements. We offer a strong benefits package including 25 days annual leave plus your birthday off, private medical insurance, a security clearance bonus, training and development, wellness support, life assurance, pension options, Perkbox, recognition rewards and paid volunteering days. We are committed to inclusion, accessibility, work‑life balance and supporting every employee to reach their full potential.