Manufacturing Software Engineer

Agilent Technologies UK

United Kingdom
Full stack software development
Data integration workflows
Machine learning models
Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions

Job Summary

  • Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.
  • Develop and implement full-stack software solutions, databases and analytics applications, ensuring seamless integration of data, systems and workflows.
  • Design, develop and deploy machine learning models and advanced algorithms to support predictive analytics, process optimization, anomaly detection and other value adding manufacturing use cases.

Matching Summary

Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.

Skills & Requirements

Must-have

  • Full stack software development
  • Data integration workflows
  • Machine learning models
  • Manufacturing digitalization
  • SQL, Python, Java, C#, VB, ASP.NET, MVC, PHP
  • ETL tools and REST APIs
  • Relational and non-relational databases

Nice-to-have

  • Strong analytical thinking
  • Problem-solving abilities
  • Leadership abilities
  • Stakeholder management skills
  • Self-driven and innovative
  • Results oriented
  • Quickly learn new skills

Key Requirements

  • Bachelor’s Degree in Software Engineering, Computer Science or equivalent
  • At least 5 years of relevant industrial working experience
  • Experience in full stack software development
  • Experience in software development lifecycle processes
  • Experience in modern data stacks
  • Experience in data integration workflows
  • Proven track records in developing and deploying data pipeline and business intelligence solutions for manufacturing and supply chain applications
  • Practical experience in ETL tools
  • Practical experience in data integration frameworks such as Microsoft Fabric
  • Practical experience in REST APIs
  • Hands-on experience with relational and non-relational databases
  • Working knowledge in BI platforms
  • Working knowledge in manufacturing software applications
  • Working knowledge in AI/ML implementations

Work Rights

Not specified

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