At a Glance
- Tasks: Design and build secure data platforms for advanced analytics and operational intelligence.
- Company: Join Envitia, a top-rated medium-sized company focused on mission-driven innovation.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and a security clearance bonus.
- 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 is a plus.
- Other info: Collaborative environment with opportunities for personal growth and community involvement.
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:
- 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.
- Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you.
- We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind.
- Up to £5,000 year Security Clearance Bonus.
- We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve.
- 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.
- Gain peace of mind with our life insurance coverage that ensures your loved ones are protected.
- Plan for your future with our pension options and resources to help build a secure financial foundation.
- Our Perkbox membership gives you access to exclusive discounts on hundreds of products and services.
- Our reward and recognition scheme celebrate your impact and let your brilliance shine.
- Join us in making a difference through paid volunteering days that let you support the causes that matter to you.
Inclusion at Envitia: 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 & Intellignce in Gloucester employer: Envitia
Contact Detail:
Envitia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Security & Intellignce in Gloucester
✨Tip Number 1
Network like a pro! Reach out to current employees at Envitia on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for the interview process. It’s all about making those connections!
✨Tip Number 2
Prepare for the technical side! Brush up on your data engineering skills, especially with tools like Apache Spark and AWS. Be ready to discuss your past projects and how you tackled challenges in data processing.
✨Tip Number 3
Show your passion for mission-driven work! Envitia values innovation and collaboration, so be sure to express your enthusiasm for contributing to projects that protect the nation. Share examples of how you've worked in teams to achieve impactful results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Envitia. Let’s get you that interview!
We think you need these skills to ace Data Engineer - Security & Intellignce in Gloucester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant programming languages like Python or Java. We want to see how your skills align with what we do at Envitia!
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-focused approach. Let us know what excites you about working in security and intelligence.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data lakes or designing ETL workflows, we love to see practical examples of your work. This helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the Envitia team!
How to prepare for a job interview at Envitia
✨Know Your Data Engineering Basics
Before the interview, brush up on your data engineering fundamentals. Make sure you can confidently discuss your experience with programming languages like Python, Java, or Scala, and be ready to explain how you've built and operated large-scale data pipelines using technologies like Apache Spark or Hadoop.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would design a secure, scalable data platform or troubleshoot a data ingestion pipeline. This will demonstrate your analytical thinking and ability to work under pressure, which is crucial for the role.
✨Familiarise Yourself with Cloud Technologies
Since the role involves working with cloud-native data platforms, make sure you understand AWS and its native data services. Be ready to discuss your experience with Infrastructure as Code and how you've implemented DevSecOps practices in previous projects.
✨Emphasise Collaboration and Communication
As you'll be working in multi-disciplinary agile teams, highlight your ability to collaborate with data scientists, software engineers, and other stakeholders. Share examples of how you've effectively communicated complex data requirements and translated them into actionable solutions.