Data & Performance Engineer

Plessey Semiconductors Ltd; Plymouth; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Pension scheme

Private medical & dental insurance

28 days' holiday + bank holidays

Free onsite meals

Onsite gym

Relocation support

Visa support available

Job summary

Plessey Semiconductors Ltd is seeking a Data & Performance Engineer in Plymouth to transform manufacturing and business data into trusted information and clear dashboards that drive faster, better decisions. You will work with IT to validate, model, analyze, report and automate data for improved cycle time, cost, quality and productivity.

You will build dashboards for manufacturing performance, model data from MES/ERP systems, validate KPI definitions, and contribute to enterprise dashboards

Qualifications

• Degree in engineering, science, data, computing or a related subject, or equivalent industry experience.
• Advanced, hands-on experience with BI tools such as Power BI: data modelling, DAX measures, dashboard design and publishing.
• Advanced Power Query (M): connecting to and combining multiple sources, and cleaning and transforming large datasets.
• Able to turn data into clear messages for engineers and senior managers.
• Experience with generative AI tools and agents.
• Data engineering experience (pipelines, data warehouses or cloud platforms).
• Advanced SQL: complex queries (joins, CTEs, window functions), views and stored procedures, and query performance tuning on large database.

Responsibilities

• Build and maintain dashboards and reports for manufacturing performance (cycle time, OEE, yield, WIP, capacity and quality).
• Create data models turning data from MES, FDC, SPC, ERP and equipment data into meaningful information with IT-managed databases.
• Validate data used in reporting, define KPIs, and coordinate data issue resolution with IT.
• Develop enterprise KPI dashboards showing actuals vs targets across functions.
• Automate management reporting including monthly reviews and strategy dashboards.
• Maintain reporting standards and KPI definitions; support IT with data governance.
• Own and develop equipment/ process monitoring systems (e.g., FDC) for alerting and insight.
• Apply statistical analysis and predictive analytics to identify loss/variation causes.
• Identify automation of manual reporting and routine workflows.
• Provide data to support capacity and simulation models for planning/investment decisions.
• Measure financial/operational benefits of improvements for Finance sign-off.
• Lead data analysis in projects and coach teams to use data effectively.

Skills

Power BI

Power Query

SQL (Advanced)

Data modelling

Analytics

AI tools / Generative AI

KPI/Reporting

Dashboard design

Education

Engineering/Science/Computing degree

Tools

Microsoft Fabric

MES / FDC / SPC / ERP

Job description

Data & Performance Engineer

Department: Manufacturing

Employment Type: Full Time

Location: Plymouth

Description

Plessey is looking for a Data & Performance Engineer to turn manufacturing and business data into trusted information and clear dashboards that drive faster, better decisions. Reporting to the Operational Excellence & Industrial Engineering team, leading continuous improvement across the business.

Working with IT, who own the business's databases, you will turn system data into meaningful information through validation, data modelling, analytics, reporting and automation, with a focus on improving cycle time, cost, quality and productivity

Key Responsibilities

• Build and maintain dashboards and reports for manufacturing performance, including cycle time, OEE, yield, WIP, capacity and quality.
• Build data models that turn data from manufacturing and business systems, such as MES, FDC, SPC, ERP, scheduling and equipment data, into meaningful information, using databases provided and managed by IT.
• Validate data used in reporting, agree KPI definitions, and raise and follow up data issues with IT and system owners.
• Build dashboards for the enterprise KPI framework, showing actual against target for every function.
• Automate management reporting, including monthly business reviews and strategy deployment (Hoshin Kanri) dashboards.
• Maintain reporting standards and KPI definitions, and support IT with data governance.
• Own and develop equipment and process monitoring systems, such as FDC, so engineers get useful alerts and insight.
• Apply statistical analysis and predictive analytics to find the causes of losses and variation.
• Identify and deliver automation of manual reporting and routine workflows.
• Provide data to support capacity and simulation models used for planning and investment decisions.
• Measure the financial and operational benefits of improvement projects for Finance sign-off.
• Lead data analysis in improvement projects and performance reviews, and coach cross-functional teams to use data effectively.

Skills, Knowledge and Expertise

Degree in engineering, science, data, computing or a related subject, or equivalent industry experience.

Advanced, hands-on experience with BI tools such as Power BI: data modelling, DAX measures, dashboard design and publishing, and managing refresh, security and workspaces.

Advanced Power Query (M): connecting to and combining multiple sources, and cleaning and transforming large datasets.

Able to turn data into clear messages for engineers and senior managers.

Experience with generative AI tools and agents.

Data engineering experience (pipelines, data warehouses or cloud platforms).

Advantage

Knowledge of statistical process control and design of experiments.

Proven experience analysing data in a manufacturing or high-tech environment.

Advanced SQL: complex queries (joins, CTEs, window functions), views and stored procedures, and query performance tuning on large database.

Experience with manufacturing systems data, for example MES, FDC, SPC or ERP.

Experience in semiconductor, electronics or other high-tech manufacturing.

Experience with Microsoft Fabric (lakehouse, dataflows, pipelines).

Benefits

• Pension scheme
• Private medical & dental insurance
• 28 days' holiday + bank holidays
• Free onsite meals
• Onsite gym
• Relocation support
• Visa support available