Data Engineer in Gloucester

Data Engineer in Gloucester

Gloucester Full-Time 50000 - 70000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Design and build secure data platforms for advanced analytics and operational intelligence.
  • Company: Join Envitia, a mission-driven tech company at the forefront of data innovation.
  • Benefits: Enjoy 25 days annual leave, private medical insurance, and a security clearance bonus.
  • Other info: Collaborate in agile teams and enjoy excellent career growth opportunities.
  • Why this job: Make a real impact by transforming complex data into actionable insights.
  • Qualifications: Experience in data engineering with Python, Java, or Scala; cloud-native expertise preferred.

The predicted salary is between 50000 - 70000 £ 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.

  • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most.
  • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind.
  • Security Clearance Bonus: Up to £5,000 year.
  • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve.
  • Wellness that works for you: Love yoga, or going to the gym? 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.
  • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present.
  • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation.
  • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services.
  • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine.
  • Give back and get involved: 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. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

Data Engineer in Gloucester employer: 慨正橡扯

Envitia is an exceptional employer that prioritises the well-being and growth of its employees, offering a supportive work culture where innovation thrives. With a commitment to professional development, generous benefits including 25 days of annual leave plus your birthday off, private medical insurance, and a wellness reimbursement scheme, Envitia ensures that every team member feels valued and empowered. Located in key cities like Gloucester, London, and Manchester, employees enjoy the opportunity to work on mission-driven projects while collaborating with talented professionals in a dynamic environment.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Gloucester

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Envitia. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise and passion for the role.

Tip Number 3

Prepare for the interview by brushing up on relevant technologies like Apache Spark and AWS. Be ready to discuss how you've tackled challenges in past projects—real-world examples go a long way!

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 the Envitia team.

We think you need these skills to ace Data Engineer in Gloucester

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 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. Be sure to mention any specific projects that relate to our work.

Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your hands-on experience with big data technologies like Apache Spark or Hadoop, and any familiarity with DevSecOps practices. We love seeing candidates who are technically savvy and ready to dive in.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at 慨正橡扯

Know Your Data Engineering Tools

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 these confidently will show that you're ready to hit the ground running.

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. This knowledge will help you articulate how your skills can contribute to their goals during the interview.

Prepare for Technical Questions

Expect technical questions that assess your ability to design and maintain data platforms and pipelines. Be ready to discuss your past projects, particularly those involving data lakes and ETL workflows. Practising common data engineering scenarios can give you an edge.

Show Your Collaborative Spirit

Since the role involves working in multi-disciplinary agile teams, be prepared to discuss your experience collaborating with data scientists, software engineers, and DevOps specialists. Share examples of how you’ve successfully worked in teams to deliver data solutions, highlighting your communication skills and adaptability.