Data Systems Engineer – Lab Analytics & Automation

Nexperia; Manchester; On-site; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Salary £40,000–£45,000

Bonus up to 6%

Pension up to 9%

Life assurance 12x

EV salary sacrifice

Health & wellbeing

Job summary

Nexperia Manchester is expanding its Quality team with a Data Systems Engineer role. You will identify and deliver data, software, automation and digitalisation solutions to improve efficiency, productivity and laboratory performance.

The role involves working with lab managers, engineers, technicians and project teams to understand challenges and drive solutions, including dashboards, code, and AI exploration, with a strong focus on continuous improvement and on-site work in Manchester.

Qualifications

• Experience solving operational or business challenges with technical solutions.
• Experience working with data: analysing, processing or managing information.
• Able to write code and develop software, automation, reporting or data solutions.
• Degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience.

Responsibilities

• 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

Skills

Data analysis

Coding / automation

Software development

Education

Degree in Computer Science / STEM

Tools

Python

Go

C#

Java

SQL

APIs / integration

Cloud platforms

Version control

Job description

Nexperia Manchester is expanding its Quality team with a Data Systems Engineer role. You will identify and deliver data, software, automation and digitalisation solutions to improve efficiency, productivity and laboratory performance.

The role involves working with lab managers, engineers, technicians and project teams to understand challenges and drive solutions, including dashboards, code, and AI exploration, with a strong focus on continuous improvement and on-site work in Manchester.