Data Systems Engineer
nexperia · Manchester · United Kingdom · On-site
Pay: GBP 40,000 – 45,000 a year
Posted Oct 7, 2026
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At Nexperia Manchester, we are expanding our Quality team with the addition of a Data Systems Engineer . If you are a technically minded problem solver who enjoys using data, software, automation and digitalisation to deliver meaningful operational improvements, we want to hear from you.
In return, we offer you the opportunity to work across data analytics, software development, automation, digitalisation and emerging technologies, with the freedom to explore new ideas, solve complex challenges and see the direct impact of your work on laboratory performance and future capability.
Please note this Data Systems Engineer role is located in Manchester with an expectation to be on site. Applicants must have the permanent right to work in the UK to be considered.
What you will do
As a Data Systems Engineer, you will be responsible for identifying and delivering data, software, automation and digitalisation solutions that improve the efficiency, productivity and performance of Manchester Quality Labs.
Stakeholder engagement is essential. A key part of the role will be working with lab managers, engineers, technicians and project teams to understand challenges and drive solutions. You will also be expected to bring creative solutions to problems and explore emerging technologies, including AI where appropriate. Additionally, we will expect you to have a real focus on continuous improvement, identifying inefficiencies and delivering measurable operational benefits.
Duties will include:
Analysing data and developing dashboards, reporting, database and analytics solutions
Writing code and developing software, workflow automation and systems integrations
Contributing to or leading technical projects from concept through implementation
Maintaining delivered systems and driving measurable improvements in laboratory productivity, efficiency and performance
Exploring emerging technologies, including appropriate AI-related applications, to address operational challenges
What you will need
Essential
Used to developing technical solutions to solve operational or business challenges
Experience working with data, including analysing, processing or managing information
Able to write code and develop software, automation, reporting or data solutions
Beneficial
A degree in Computer Science, Software Engineering, Data Science or another STEM-related discipline, or equivalent practical experience
Experience leading projects or workstreams, influencing stakeholders and driving change
Experience with programming languages such as Python, Go, C#, Java, VBA or similar
Knowledge of cloud platforms, version control systems, AI technologies or modern software development practices
Experience with SQL, databases, dashboard development, reporting tools or analytics platforms
Experience with workflow automation, APIs, systems integration or automation platforms
Prior experience working in a…