At a Glance
- Tasks: Design and build data-driven solutions for defence experimentation and capability assessment.
- Company: Join Nova Systems, a leader in advanced systems engineering and digital technology solutions.
- Benefits: Enjoy competitive pay, professional development, flexible working, and generous leave policies.
- Why this job: Make a real impact on national safety while growing your technical skills in a collaborative environment.
- Qualifications: Experience in Python, SQL, and data engineering principles is essential.
- Other info: Work on meaningful projects with opportunities for career growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
Nova Systems plays a vital role in modelling and simulation space by delivering advanced systems engineering and digital technology solutions that help governments and industries make critical decisions. Our work supports mission readiness, system optimisation, and scenario planning across defence, aerospace, and essential services. Future employees can expect to work on cutting-edge challenges that directly impact national safety and global stability, within a collaborative, values-driven culture.
The Role - Data Engineer
As a Data Engineer in the Modelling & Simulation (M&S) domain, you will help design and build data-driven solutions that underpin experimentation and capability assessment for the UK Ministry of Defence (MOD). You’ll work closely with software engineers, analysts, and domain experts to collect, transform, and analyse simulation data enabling insight generation and informed decision-making. This role offers an excellent opportunity to grow your technical expertise in data engineering, analytics, and defence experimentation while contributing to meaningful projects.
Location - This role will primarily be based on the client site in Farnborough, Hampshire for 2-3 days a week.
Key Accountabilities
- Develop and maintain data pipelines to Extract, Transform, and Load (ETL) simulation data for analysis and reporting.
- Support the design and automation of data workflows for experimentation and analysis.
- Assist in developing data models and analytical tools to support MOD and related M&S projects.
- Collaborate with software engineers to integrate data flows between simulation and analytical environments.
- Conduct data quality checks, validation, and pre-processing of simulation outputs.
- Contribute to experiment design, execution, and results interpretation.
Essential Experience and Requirements
- Programming experience in Python.
- Knowledge of data engineering principles and data lifecycle management.
- Proficiency with SQL ORM for querying, joining, and analysing datasets.
- Ability to perform data analysis, mathematical computation, and visualisation.
- Experience or interest in data pipelines, Extract, Transform, and Load (ETL) processes, and automation.
- Familiarity with data orchestration, workflow design, or scripting automation.
- Ability to develop in an offline environment.
Desirable Experience
- Exposure to Defence Experimentation or simulation-based studies.
- Awareness of Air or Maritime domain systems.
Security Requirements:
- UK Citizenship (we cannot accept dual citizenship due to the nature of the work).
- Ability to achieve Security Clearance (SC).
Why Join Us
At Nova Systems, you’ll be part of a mission-driven team that values innovation, trust, and collaboration. We offer a supportive environment for learning and development, backed by our professional development allowance, mentoring, and opportunities to work on impactful UK and global defence projects.
Benefits & Perks
- Matched pension.
- Up to £ Annual Professional Development Allowance.
- 5 days Development Leave.
- 25 days Annual Leave + UK Public Holidays.
- Enhanced Family Friendly Leave.
- Reservist Leave.
- Loyalty Leave.
- Private Medical Insurance.
- Life Insurance.
- Up to 6 Weeks Sick Pay.
- Employee Assistance Program.
- Reward & Recognition Programme.
- Discounts and more.
- Flexible and Hybrid working.
- Free Parking.
We support any client/onsite workdays with travel expenses and accommodation when required, this supports you being based anywhere in the UK if you are happy to commute for those days where the team collaborates onsite. This is typically 2-3 days a week with the rest being home or office based. We do try our best to ensure we can be as flexible as possible and offer work from home options to balance the days, however due to the sensitive nature of some of our projects, then onsite is necessary. The client site is located at Hampshire, which is where the work will be based.
Interview Process
- MS Teams Screen call with Talent Partner.
- MS Teams Interview with Hiring Manager / Snr Team Member.
- Final interview / meet the team - In Person at one of our Offices.
- May include pre-briefed case study / research presentation.
- Right to work documents / UK Passport must be provided at this stage if not before.
Please note - Due to the nature of the work Nova is involved in, we are required to comply with government regulations related to background checks and security clearances. Therefore, we must obtain your citizenship and country of birth information at the beginning of the recruitment process. We are committed to increasing diversity of staff within Nova Systems International and within the aerospace and engineering sector. We welcome applications from everyone who meets the requirements of the role description, and we are committed to equal opportunity, equal treatment, and respect for every individual.
At Nova Systems International we are proud supporters of the . We recognize the value that serving personnel, reservists, veterans, and military families bring to our business. We offer, and value, flexible working and we are also proud to be committed to mental health awareness and to actively support the wellbeing of our team.
Data Engineer employer: Nova Systems
Contact Detail:
Nova Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Nova Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for your interviews by brushing up on your technical skills and understanding the role of a Data Engineer. Practice common interview questions and think about how your experience aligns with the projects at Nova Systems.
✨Tip Number 3
Showcase your passion for defence and simulation! When you get the chance, share your thoughts on recent developments in the field or any relevant projects you've worked on. It’ll help you stand out as someone who truly cares about the mission.
✨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 Nova Systems team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Showcase Your Projects: If you've worked on any data pipelines or ETL processes, be sure to mention them! We love seeing real-world examples of your work, so include links to your projects or a portfolio if you have one.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points for easy reading and make sure to proofread for any typos or errors. We appreciate clarity and professionalism!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Nova Systems
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering principles and the data lifecycle management. Be ready to discuss your experience with ETL processes, SQL, and Python programming. This will show that you have a solid foundation for the role.
✨Familiarise Yourself with Defence Context
Since the role involves working with the UK Ministry of Defence, it’s beneficial to understand the basics of defence experimentation and simulation-based studies. Research current trends in the defence sector to demonstrate your interest and knowledge during the interview.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, data quality checks, and automation. Practise explaining your past projects and how you’ve tackled challenges in data analysis or workflow design. This will help you articulate your problem-solving skills effectively.
✨Engage with the Team Dynamics
Since collaboration is key in this role, be prepared to discuss how you work with others, especially software engineers and analysts. Share examples of successful teamwork and how you’ve contributed to group projects, as this will highlight your fit within their values-driven culture.