At a Glance
- Tasks: Design and build secure data platforms for advanced analytics and operational intelligence.
- Company: Join Envitia, a top-rated innovative tech company focused on mission-driven solutions.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and a security clearance bonus.
- Other info: Dynamic team environment with opportunities for personal growth and community involvement.
- Why this job: Make a real impact in national security while working with cutting-edge technology.
- Qualifications: Experience in data engineering with Python, Java, or Scala; cloud-native expertise preferred.
The predicted salary is between 36000 - 60000 £ per year.
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 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.
The Role: 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.
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:
- 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? At Envitia, 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.
- Enjoy 25 days of annual leave plus your birthday off.
- Private Medical Insurance: Comprehensive private healthcare, including family options.
- Security Clearance Bonus: Up to £5,000 year.
- Career growth with ongoing training and development.
- Wellness support with a fitness reimbursement scheme.
- Life Assurance coverage.
- Smarter Retirement Planning with pension options.
- Perkbox membership for exclusive discounts.
- Recognition through our reward and recognition scheme.
- Paid volunteering days to support causes that matter to you.
Inclusion at Envitia: 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.
Data Engineer - Security & Intelligence in London employer: Envitia
Envitia is an exceptional employer, recognised as one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025. With a strong focus on innovation and collaboration, we offer a supportive work culture that prioritises employee growth through ongoing training and development. Our comprehensive benefits package, including generous leave, private medical insurance, and wellness initiatives, ensures that our team members feel valued and motivated while working on mission-driven projects in secure environments across key UK locations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Security & Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Envitia on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data engineering concepts, especially around big data technologies like Apache Spark and AWS. We want to see your passion!
✨Tip Number 3
Showcase your projects! If you've built any data platforms or pipelines, be ready to discuss them in detail. We love seeing real-world applications of your skills, so bring your A-game to the conversation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission-driven team.
We think you need these skills to ace Data Engineer - Security & Intelligence in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering, especially in secure environments. We want to see how your skills align with our mission-focused approach!
Showcase Your Technical Skills:Don’t hold back on detailing your experience with programming languages like Python or Java, and big data technologies like Apache Spark. We’re looking for those who can engineer robust data solutions, so let us know what you’ve got!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Envitia!
How to prepare for a job interview at Envitia
✨Know Your Data Engineering Basics
Before the interview, brush up on your data engineering fundamentals. Be ready to discuss your experience with programming languages like Python, Java, or Scala, and how you've built large-scale data pipelines. This will show that you understand the core responsibilities of the role.
✨Familiarise Yourself with Security Protocols
Since this role involves working in secure environments, make sure you understand the basics of security clearance and data protection. Be prepared to discuss how you've handled sensitive information in past projects, as this will demonstrate your ability to work within regulated settings.
✨Showcase Your Collaboration Skills
Envitia values teamwork, so be ready to share examples of how you've collaborated with data scientists, software engineers, and other stakeholders. Highlight any agile methodologies you've used and how they contributed to successful project outcomes.
✨Prepare Questions About Their Projects
Research Envitia's recent projects and be prepared to ask insightful questions about their work in C5ISR and data fusion. This shows your genuine interest in the company and helps you understand how you can contribute to their mission-driven innovation.