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For Companies At a Glance
- Tasks: Design and build data pipelines for smarter operations and real-time decision-making.
- Company: Join a leading Systems & Engineering Consultancy with exciting Government & Defence projects.
- Benefits: Enjoy fantastic benefits, hybrid working, and a supportive work environment.
- Why this job: Make an impact on national resilience while developing your skills in a flexible culture.
- Qualifications: Experience in data engineering, ETL development, and familiarity with cloud platforms required.
- Other info: DV Clearance needed; applications accepted from UK Nationals only.
The predicted salary is between 36000 - 60000 £ per year.
These roles will require DV Clearance eventually, therefore we can only accept applications from UK Nationals and ideally those with SC Clearance. We will look at candidates of all levels here as there are potentially many opportunities.
The Client: Our clients are a leading Systems & Engineering Consultancy with some large scale Government & Defence Contracts. They’re known for looking after their staff and providing an excellent working environment with sound prospects, training and development and a hybrid working environment – for this role you’ll need to be flexible to be in Cambridge a few days a week, potentially other client sites and the rest of the time working from home.
The Benefits are fantastic and available on request.
The Role: In this role, you’ll design and build data pipelines that enable faster decision-making, smarter operations, and better outcomes—often in real-time and at scale. Working alongside analysts, engineers, and mission specialists, you'll help connect the dots between data and national resilience.
As a Data Engineer you will add value to the business through helping develop capabilities, securing new business opportunities or adding to our trusting and flexible culture. You will:
- Develop and maintain robust, secure data pipelines across varied defence systems
- Integrate, transform, and enrich large-scale datasets—including structured, unstructured, and sensor data
- Collaborate with platform and cloud teams to ensure data solutions are scalable, secure, and dependable
- Support users across intelligence, logistics, and operational teams to unlock the full value of data
- Occasionally handle geospatial datasets, such as satellite imagery, mapping feeds, or location-tagged data
- Contribute to the design of modern data architectures in line with MOD standards
Requirements:
- Demonstrable experience in data engineering or ETL development using tools like Spark, Python, or SQL
- Familiarity with cloud platforms (AWS, Azure, or MODCloud) and data services
- Experience building and automating data pipelines using tools like Airflow, dbt, or similar
- An understanding of data security and privacy in sensitive environments
- Ideally exposure to geospatial tools or libraries such as PostGIS, GDAL, QGIS, or geospatial APIs
- Experience with defence-related datasets, sensor feeds, or mission systems
- Familiarity with containerised environments (Docker/Kubernetes) and DevOps practices
- Knowledge of MOD data standards, JSPs, or NIST frameworks is desirable
Process: The interview process will be 2 x fold with Technical & Competency-based interviews conducted mainly across Teams. We’re looking for someone to join as soon as possible, though we’re happy to wait for the right person.
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineers (Cambridge)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Spark, Python, and SQL. Having hands-on experience or projects showcasing these skills can significantly boost your chances during the interview.
✨Tip Number 2
Since the role involves working with cloud platforms like AWS and Azure, consider obtaining relevant certifications. This not only demonstrates your commitment to the field but also gives you an edge over other candidates.
✨Tip Number 3
Prepare for the technical interviews by practising common data engineering problems and scenarios. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with coding challenges.
✨Tip Number 4
Network with professionals in the defence and government sectors. Engaging with industry-specific groups on LinkedIn or attending relevant meetups can provide insights and potentially lead to referrals, which can be invaluable in landing the job.
We think you need these skills to ace Data Engineers (Cambridge)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, ETL development, and familiarity with tools like Spark, Python, or SQL. Emphasise any work you've done with cloud platforms and data services.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of the importance of data security and privacy, especially in sensitive environments, and how your skills align with their needs.
Highlight Relevant Projects: If you have experience with geospatial datasets or defence-related projects, be sure to include these in your application. Discuss specific projects where you developed or maintained data pipelines, showcasing your problem-solving skills.
Prepare for Interviews: Since the interview process includes technical and competency-based interviews, review common data engineering concepts and prepare to discuss your previous experiences in detail. Be ready to demonstrate your knowledge of MOD standards and data architectures.
How to prepare for a job interview at PeopleGenius
✨Understand the Technical Requirements
Make sure you have a solid grasp of the technical skills required for the role, such as data engineering, ETL development, and familiarity with tools like Spark, Python, and SQL. Be prepared to discuss your experience with these technologies in detail.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate how you've tackled complex data challenges in the past. Use specific examples to illustrate your thought process and the impact of your solutions on previous projects.
✨Familiarise Yourself with Defence Standards
Since the role involves working with defence-related datasets, it’s crucial to understand MOD data standards and security protocols. Brush up on relevant frameworks like JSPs or NIST to show your awareness of the environment you'll be working in.
✨Prepare for Competency-Based Questions
Expect competency-based questions that assess your teamwork, communication, and adaptability. Think of examples from your past experiences where you successfully collaborated with others or adapted to changing circumstances, especially in a hybrid work setting.
