At a Glance
- Tasks: Design and build secure, scalable data platforms for advanced analytics.
- Company: Join Envitia, a leader in Security and Intelligence consulting.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and a security clearance bonus.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make an impact with cutting-edge data engineering in a collaborative environment.
- Qualifications: Experience in data engineering with Python, Java, or Scala; SQL skills required.
The predicted salary is between 50000 - 70000 £ per year.
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. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production‑grade data solutions.
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?
- Enjoy 25 days of annual leave plus your birthday off. You can buy or sell up to 5 extra days to tailor time off around what matters most.
- 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. 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: Secure, Scalable Data Pipelines in Gloucester employer: Limelight Health
Envitia is an exceptional employer that prioritises the well-being and growth of its employees, offering a supportive work culture where collaboration thrives. With generous benefits such as 25 days of annual leave, private medical insurance, and a commitment to ongoing training, employees are empowered to reach their full potential while enjoying a healthy work-life balance. Located in key cities like Gloucester, London, and Manchester, Envitia provides unique opportunities to engage in meaningful projects within secure environments, making it an ideal place for data engineers looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Secure, Scalable Data Pipelines in Gloucester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving big data technologies like Apache Spark or Hadoop. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or working with cloud-native platforms. Confidence is key!
✨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 our awesome team at Envitia.
We think you need these skills to ace Data Engineer: Secure, Scalable Data Pipelines 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, big data technologies, and any relevant programming languages like Python or Java. We want to see how your skills match 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 your background makes you a great fit for our team. Don’t forget to mention any experience with cloud-native platforms or DevSecOps!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building data lakes or designing ETL workflows, we love seeing real-world examples of your work that demonstrate your skills.
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 you're serious about joining our awesome team at Envitia!
How to prepare for a job interview at Limelight Health
✨Know Your Data Engineering Tools
Make sure you brush up on your knowledge of programming languages like Python, Java, or Scala, and SQL. Familiarise yourself with big data technologies such as Apache Spark and Hadoop, as well as cloud platforms like AWS. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Understand the Role's Requirements
Dive deep into the job description and understand what the company is looking for. Be prepared to discuss how your skills align with their needs, especially around designing secure, scalable data platforms and pipelines. Tailor your examples to highlight relevant experiences that demonstrate your ability to meet these requirements.
✨Showcase Your 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 in the past. Highlight your communication skills and how you translate complex data requirements into actionable solutions.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with thoughtful questions about the team dynamics, project expectations, and the company's approach to data security and analytics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
