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# Systems Engineering Opportunities: Mechanical Systems Engineer or Engineering Data Scientist

- **Company:** Caterpillar
- **Location:** Peterborough, United Kingdom
- **Salary:** £41,593
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Big Data, Data Infrastructure, Data Systems, Data Visualization, Failure Mode Effects Analysis, Machine Learning, SQL Databases, Web Applications, Data Analytics, Software Coding
- **Published:** November 10, 2026
- **Apply:** https://dejobs.org/x/x/5FDB080729F04569B8BF8E5DAE270ACA/job/

## About the Role

We welcome mechanical or controls engineers who are passionately data driven, and data scientists, mathematicians, physicists or software engineers who are passionate about mechanical engineering or mechatronics. All candidates will bring:

 * An engineering or STEM degree and/or relevant experience in an engineering field
 * Experience of industrial power systems, engines, or machine applications
 * A systems approach to problem solving and product development
 * The ability to interrogate data and draw sound engineering conclusions
 * Good written and verbal communication, and confidence presenting to peers and customers
 * Ownership and initiative, working autonomously and as part of a team

Desirable experience for each role includes some of the following; you do not need all of them:

 * Engine design, development or simulation; industrial diesel engines
 * Code development
 * Planning validation and test requirements; DFMEA creation and facilitation
 * Database management and SQL query
 * Root cause investigation, 6 Sigma, Lean and continuous improvement
 * Process transformation with generative AI & automation
 * Proactive reliability methods applied to industrial product development
 * Decision insights from data analytics, machine learning, and statistics

## Description

Our Systems teams own how our engines and powertrains perform, last and deliver customer value, from setting requirements at the start of a New Product Introduction (NPI) program through to data-driven services that support products in the field. We work alongside system and virtual and physical validation specialists in Peterborough and with engineering colleagues in the US, China, and India on diesel, hybrid and alternative fuel powertrain projects. With many exciting projects in flight, demand on the team is high.

L4M Mechanical Systems team

The Mechanical Systems team is accountable for mechanical system functionality, reliability and durability for NPI programs and current production engines. The team is involved from the start of a program, setting requirements and technical objectives, to planning and delivering validation on engine and machine, with a focus on early risk identification, robust mitigation and technical issue management.

Engineering Data Systems (EDS) team

The EDS team blends big data analytics with mechanical engineering expertise to help product development teams extract maximum knowledge from test, field, and simulation data, and works with Service and Aftermarket teams to deliver digital services that improve the performance, life and ease of maintenance of our products.

The Opportunity

Mechanical Systems Engineer (L4M)

 * Identify mechanical system integration requirements, cascade Product Objectives to Technical Objectives and make system-level trade-offs
 * Create engine system FMEAs and facilitate system and component Design Verification Plans (DVP)
 * Plan and manage engine build and test programs, on our test facility and in application with customers
 * Review engine and machine data from validation tests and the field, and support technical issue resolution

Engineering Data Scientist

 * Apply data science techniques to large engineering datasets, including time series, to resolve product and business problems
 * Build visualisations, web apps and dashboards that put frequently used analytics in engineers' hands
 * Package analytics as condition monitors for production and deploy physics-based reduced order models
 * Communicate and document analytical solutions, and help shape future data infrastructure and tools