Data Engineer – Modelling and Simulation

Nova Systems International

. Develop data pipelines to ingest, transform and structure simulation and experimentation data .

Posted 10/14/2026full-timeFarnborough • United KingdomMid-LevelSenior💰 £40,000 - £55,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing data pipelines and models for simulation data, with expertise in Python and SQL for data processing and automation. Capable of implementing data quality processes and collaborating effectively in multidisciplinary teams within Defence Modelling & Simulation environments.

Highest-signal resume keywords

Python Data ProcessingSQL Querying and ManagementData Pipeline DevelopmentData Quality and ValidationDefence Modelling & Simulation Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL ProcessesData ModellingData StructuresData Workflow AutomationData VisualisationCSV Data HandlingJSON Data HandlingStatistical AnalysisExperiment Design

Certifications & Qualifications

UK CitizenshipSecurity Clearance (SC)BPSS Background Check

Industry Keywords

Defence Modelling & SimulationSimulation DataData Processing WorkflowsCapability AssessmentExperimentation

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Develop data pipelines to ingest, transform and structure simulation and experimentation data
Develop data models and structures for storage, retrieval and use of simulation data
Integrate data flows between simulation and analytical environments
Work with modelling and simulation and software engineers to implement interfaces
Develop and automate repeatable data processing workflows
Implement data quality and validation processes
Support exploitation of simulation data for experimentation, analysis and visualisation
Collaborate with M&S engineers, software engineers, analysts and domain specialists
Work across home, client-site and office environments
Integrate and test with the team onsite
Deliver data solutions supporting UK Ministry of Defence experimentation and capability assessment

Requirements

What you’ll need

Experience using Python for data processing, transformation and automation
Experience using SQL for querying, joining and managing structured datasets
Experience developing and maintaining data pipelines and ETL processes
Understanding of data modelling and data structures to support storage, retrieval and analysis
Experience working with CSV and JSON data
Understanding of data quality and validation
Ability to develop and operate data solutions within offline or restricted environments
UK Citizenship is mandatory
Must not hold a dual passport
Ability to hold Security Clearance (SC)
Must participate in BPSS background checks and security clearance processes
Experience within Defence Modelling & Simulation, experimentation or capability assessment is desirable
Experience extracting and processing data from modelling and simulation systems is desirable
Understanding of experiment design and statistical analysis is desirable
Experience with large or complex datasets, including simulation-generated data, is desirable
Experience with data workflow automation and repeatable data processing is desirable
Experience developing data visualisations is desirable
Must be able to commute to onsite collaboration days, typically 2–3 days a week

Benefits

Comp & perks

8.5% Matched Salary Sacrifice Pension
Annual Professional Development Allowance
5 days Development Leave
25 days Annual Leave + UK Public Holidays
Enhanced Parental 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
Travel expenses paid to client sites
Accommodation when required for client/onsite workdays
Mentoring and opportunities for professional and career development
Modern software development tools and secure code repositories