The Role
Build and maintain manufacturing and enterprise dashboards, data models, KPI frameworks, and automated reporting. Validate data, establish KPI definitions, support data governance, and develop equipment monitoring systems. Apply statistical and predictive analytics to identify losses and variation, automate workflows, support capacity planning, measure improvement benefits, and coach cross-functional teams in data-driven decision-making.
Summary Generated by Built In
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
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
About
About PlesseyWe’re building the hardware foundation for next-era computing.Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays and optical interconnects.Join us to work on breakthrough technologies shaping the future of light-based technology and computing.LeadWe don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing.GrowWe expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology.TrustWe operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact.
Skills Required
- 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, including data modelling, DAX measures, dashboard design, publishing, refresh management, security, and workspaces
- Advanced Power Query M experience connecting to multiple sources and cleaning and transforming large datasets
- Ability to communicate data-driven insights clearly to engineers and senior managers
- Experience with generative AI tools and agents
- Data engineering experience with pipelines, data warehouses, or cloud platforms
- Knowledge of statistical process control and design of experiments
- Experience analyzing data in a manufacturing or high-tech environment
- Advanced SQL, including complex queries, joins, CTEs, window functions, views, stored procedures, and query performance tuning
- Experience with manufacturing systems data such as MES, FDC, SPC, or ERP
- Experience in semiconductor, electronics, or other high-tech manufacturing
- Experience with Microsoft Fabric, including lakehouses, dataflows, and pipelines
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The Company
What We Do
Plessey is a UK-based technology company specializing in the design and manufacturing of advanced microLED display solutions. They utilize a proprietary GaN-on-Silicon platform to produce high-performance, high-density RGB pixel arrays for applications in Augmented Reality (AR), Virtual Reality (VR), and other head-mounted display systems. The company operates integrated manufacturing facilities in Plymouth, England, focusing on the next generation of photonic technologies for computing and display engines.
