IT & Software

Lead Digitisation Engineer

TT Electronics

Remote · Nationwide · United Kingdom

Overview

In this role, you will lead the strategy, architecture, and delivery of automated data pipelines, IoT integration, and advanced analytics for smart manufacturing. You will connect traditional microelectronics processes with modern digital infrastructure to optimise yield, enable predictive maintenance, and enable lights-out automation. You’ll work closely with process engineers and cross-functional teams to drive data-driven decisions. This is an opportunity to shape Industry 4.0 adoption across cleanroom and assembly operations through impactful, scalable solutions.

Pay / Benefits
  • Competitive Salary
  • Enhanced pension contributions
  • Healthcare cashback plan
  • Employee assistance programme
  • Site incentive plan
  • Financial wellbeing benefit
Responsibilities
  • Design and own the Industry 4.0 strategy and roadmap
  • Integrate legacy equipment with modern microelectronics automation
  • Architect robust data pipelines for data collection, storage, and analysis
  • Collaborate to implement APC, SPC, and machine learning models
  • Lead multidisciplinary projects and foster data-driven decision-making
  • Evaluate and manage external software vendors, equipment manufacturers, and system integrators
Key requirements
  • Experience in smart manufacturing, automation, or data engineering within microelectronics assembly or high-precision manufacturing
  • Proven leadership of digital transformation/Industry 4.0 projects from concept to deployment
  • Familiarity with microelectronics assembly equipment and factory automation protocols
  • Proficiency in programming languages used for data analysis and automation
  • Experience with time-series databases and modern data visualization tools
  • Working knowledge of cloud or edge computing architectures
  • Strong project management, problem-solving, and stakeholder communication skills
  • Cross-functional collaboration
  • Clear communication of complex concepts
  • Problem-solving
  • Programming languages for data analysis and automation
  • Time-series databases
  • Data visualization tools

Reference: WJ-747_30918308

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