Data Systems Engineer

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.

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.

• 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

• 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

• A degree in Computer Science, Software Engineering, Data Science or another STEM-related discipline, or equivalent practical experience
• Experience leading projects or work streams, 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 laboratory, scientific, engineering, semiconductor or another technology-focused environment

Stage 1:
Recruiter Review

Stage 2: 30-minute Technical Interview over Teams

Stage 3: 90-minute Competency & Behavioural Interview Onsite with site tour

• £ salary
• Bonus up to 6%
• excellent contributory pension scheme of up to 9%
• recognition rewards scheme
• EV salary sacrifice scheme
• income protection
• 12 xsalary life assurance policy

• 33 days annual leave
• flexible benefits scheme
• enhanced parental leave
• on-site medical centre
• enhanced sick pay
• subsidised canteen
• employee assistance programme
• retail & entertainment discounts
• a variety of sports & social clubs

• Possibility for funded academic support up to PhD level
• employee goal setting and development plans
• huge growth potential both…