Data Engineer

Nova Systems Pty
Farnborough
1 day ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.


Our Vision - Smart people. Solving complex challenges. Making our world safe and secure.


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 Project Crucible 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.
  • Exposure to Defence Experimentation or simulation-based studies.
  • Awareness of Air or Maritime domain systems.

Security Requirements

  • UK Citizenship (we can not 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.



  • Up to £1500-3000 Annual Professional Development Allowance
  • 25 days Annual Leave + UK Public Holidays
  • Enhanced Family Friendly 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

Location

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 Cody Technology Park, Farnborough, 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
  • 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 Armed Forces Covenant. 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. If you have special access requirements, please do let us know.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.