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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 tools, and familiarity with cloud platforms required.
- Other info: DV Clearance needed; open to candidates of all levels.
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.
Data Engineers (Cambridge) employer: PeopleGenius
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 data engineering sectors. Engaging with industry groups on LinkedIn or attending relevant meetups can provide insights into the company culture and potentially lead to referrals.
We think you need these skills to ace Data Engineers (Cambridge)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Familiarise yourself with the tools and technologies mentioned in the job description, such as Spark, Python, SQL, and cloud platforms like AWS or Azure.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, ETL development, and any familiarity with defence-related datasets. Emphasise your skills in building and automating data pipelines, as well as your understanding of data security and privacy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your alignment with the company's values. Mention your flexibility regarding hybrid working and your eagerness to contribute to national resilience through data solutions.
Prepare for Interviews: Anticipate both technical and competency-based questions during the interview process. Brush up on your knowledge of data architectures, MOD standards, and be ready to discuss your previous projects involving data pipelines and collaboration with cross-functional teams.
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. Research these standards beforehand and be prepared to discuss how you would apply them in your work.
✨Prepare for Behavioural Questions
Expect competency-based questions that assess your teamwork, adaptability, and communication skills. Think of examples from your past experiences that highlight your ability to collaborate effectively and contribute to a positive work culture.
