At a Glance
- Tasks: Design and build secure data platforms for advanced analytics and operational intelligence.
- Company: Join Envitia, a top-rated innovative company focused on mission-driven projects.
- 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 required.
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.
- 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 for your loved ones.
- 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 in Edinburgh 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 for those looking to make a meaningful impact in the field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer - Security & Intellignce in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Envitia. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering. We want you to showcase your expertise, so practice common interview questions and have examples ready to demonstrate your experience.
✨Tip Number 3
Don’t forget to tailor your approach! Research Envitia’s projects and values, and be ready to discuss how your skills align with their mission. Show them you’re not just another candidate, but someone who truly gets what they do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Envitia. Let’s get you on board!
We think you need these skills to ace Remote Data Engineer - Security & Intellignce in Edinburgh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data platforms, pipelines, and any relevant technologies like Python or Apache Spark. We want to see how your skills align with our mission-focused approach!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your data engineering skills. Whether it's building data lakes or designing ETL workflows, we love to see tangible results and how you’ve contributed to successful outcomes.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless necessary. We appreciate clarity as much as capability!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on 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 specific projects where you've used these technologies will really impress.
✨Understand the Mission
Envitia operates in sensitive environments, so it’s crucial to understand their mission-focused approach. Familiarise yourself with how they fuse cyber, geospatial, and kinetic data. Be prepared to discuss how your skills can contribute to delivering actionable insights in complex domains.
✨Showcase Collaboration Skills
Since the role involves working closely with multi-disciplinary teams, be ready to share examples of how you’ve successfully collaborated with data scientists, software engineers, and other stakeholders. Highlight your ability to translate data requirements into robust solutions that meet team goals.
✨Prepare for Security Discussions
Given the nature of the work, you might be asked about your experience in secure environments and your understanding of security clearance processes. Be honest about your background and express your willingness to obtain the necessary clearances. This shows you’re serious about the role and understand its importance.
