Our client is a geospatial and data technology company.

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Join the Growth Story at our client
Our client 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 C5ISR, 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 our client enables you to work with mission driven innovation.
We're thrilled to announce that our client 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.
The Role
Our client 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, DevOps 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
Job 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.
Skills Required
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.
Security Clearance Requirements
The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance.
Location
It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements).
What's in it for you?
Our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being.
More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most.
Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind.
Security Clearance Bonus: Up to £5,000 year
Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve.
Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses.
Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present.
Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation.
Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services.
Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine.
Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you.
Inclusion at our client
We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered.
We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. xrexnqw
If you require any accommodations during the application or interview process, please let us know.