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: Flexible work options and a commitment to diversity and inclusion.
- 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 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 in Derry 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 Derry
✨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 diving deep into Envitia's projects and values. Show us that you understand our mission and how your skills as a Data Engineer can contribute to our goals in security and intelligence.
✨Tip Number 3
Practice your technical skills! Brush up on your data engineering knowledge, especially with tools like Apache Spark and AWS. We love seeing candidates who can demonstrate their expertise in real-time during interviews.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows us that you’re genuinely interested in joining our team at Envitia.
We think you need these skills to ace Remote Data Engineer - Security & Intellignce in Derry
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data engineering, especially with the technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, be sure to include them. We love seeing practical examples of your work, especially those that demonstrate your ability to handle large-scale data pipelines and analytics.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and enthusiasm for the role!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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. Inquire about the team dynamics, the types of projects you might work on, or how they measure success in their data engineering efforts. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.