Remote Data Engineer - Security & Intellignce

Remote Data Engineer - Security & Intellignce

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Envitia

At a Glance

  • Tasks: Design and build secure data platforms for advanced analytics and operational intelligence.
  • Company: Join Envitia, a top-rated company focused on mission-driven innovation.
  • Benefits: Enjoy 25 days annual leave, private medical insurance, and a security clearance bonus.
  • Other info: Inclusive workplace 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 and modern programming languages like Python or Java.

The predicted salary is between 60000 - 80000 £ 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.

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? 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.

  • More time for you: Enjoy 25 days of annual leave plus your birthday off.
  • Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most.
  • Private Medical Insurance: Comprehensive private healthcare, including family options.
  • Security Clearance Bonus: Up to £5,000 year.
  • Career growth that keeps you ahead: Ongoing training and development.
  • Wellness that works for you: Fitness reimbursement scheme.
  • Life Assurance: Coverage that ensures your loved ones are protected.
  • Smarter Retirement Planning: Pension options and resources.
  • Perkbox: Access to exclusive discounts on hundreds of products and services.
  • Recognition that counts: Reward and recognition scheme.
  • Give back and get involved: Paid volunteering days.

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.

Remote Data Engineer - Security & Intellignce employer: Envitia

Envitia is an exceptional employer, recognised as one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025. We foster a collaborative and innovative work culture that prioritises employee growth through ongoing training and development, while offering a comprehensive benefits package including generous leave, private medical insurance, and wellness support. With a mission-driven focus and a commitment to diversity and inclusion, Envitia provides a rewarding environment where every team member can thrive and contribute to meaningful projects that protect the nation.

Envitia

Contact Details:

Envitia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Data Engineer - Security & Intellignce

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even online forums. The more you engage, the better your chances of landing that dream job at Envitia.

Show Off Your Skills

Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects. This gives potential employers a taste of what you can do, especially in data engineering.

Ace the Interview

Prepare for those interviews by practising common questions and scenarios related to data engineering. Be ready to discuss your past projects and how they relate to the role at Envitia. Confidence is key!

Apply Through Our Website

Make sure to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!

We think you need these skills to ace Remote Data Engineer - Security & Intellignce

Data Engineering
Python
Java
Scala
SQL
Big Data Technologies
Apache Spark

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience with data platforms, programming languages, and any specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Envitia. Keep it concise but impactful – we love a good story!

Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We’re interested in seeing how you've applied your skills in real-world scenarios, especially in secure or regulated environments.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining our team at Envitia!

How to prepare for a job interview at Envitia

Know Your Tech Inside Out

Make sure you’re well-versed in the programming languages and technologies mentioned in the job description, like Python, Java, and SQL. Brush up on your experience with big data tools like Apache Spark and Hadoop, as well as cloud platforms like AWS. Being able to discuss your hands-on experience confidently will impress the interviewers.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you designed data pipelines or optimised data architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.

Understand the Mission

Since Envitia operates in sensitive environments, it’s crucial to understand their mission-focused approach. Familiarise yourself with their work in C5ISR and how they fuse different types of data. Showing that you grasp the importance of situational awareness and operational intelligence will demonstrate your alignment with their values.

Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of your interview. This could be about their agile team structure, how they measure success in projects, or what the onboarding process looks like. Asking questions shows your genuine interest in the role and helps you assess if the company is the right fit for you.