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Industrial Engineer – Data & Workforce Solutions Engineer; Global Trade Services

Job in East Malling, West Malling, Kent County, ME19, England, UK
Listing for: Fedex
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Industrial Engineer – Data & Workforce Solutions Engineer (Global Trade Services)
Location: East Malling

Do you enjoy designing data-driven solutions that improve operational performance at scale? Join Fed Ex Global Trade Services (GTS) as an Industrial Engineer and help build the data, reporting, workforce management, and governance capabilities that will support the future of Clearance operations across Europe.
In this role, you will work across Operations, Technology, Data & AI, and Compliance teams to develop scalable reporting solutions, support enterprise data ingestion processes, improve data quality, enable AI governance frameworks, and deliver operational insights through Power BI and related technologies.
You will play a key role in building the foundations that enable intelligent decision‑making, workforce management, regulatory compliance, and sustainable operational growth.

We have an exciting opportunity for you to join our team as a Industrial
Engineer – Data & Workforce Solutions Engineer (Global Trade Services)

Position Summary

Do you enjoy designing data-driven solutions that improve operational performance at scale? Join Fed Ex Global Trade Services (GTS) as an Industrial Engineer and help build the data, reporting, workforce management, and governance capabilities that will support the future of Clearance operations across Europe.

In this role, you will work across Operations, Technology, Data & AI, and Compliance teams to develop scalable reporting solutions, support enterprise data ingestion processes, improve data quality, enable AI governance frameworks, and deliver operational insights through Power BI and related technologies.

You will play a key role in building the foundations that enable intelligent decision‑making, workforce management, regulatory compliance, and sustainable operational growth.

Who we are:

Fed Ex is the largest express transportation company in the world, connecting more than 220 countries and territories. We work every moment to deliver the most important package of someone’s day. Our team of passionate people know their day-to-day work is invaluable in delivering outstanding experience to our customers. 530,000 team members strong, we are as diverse as the world we serve.

We love what we do, and we do it well. Our reach is big, and so are our dreams. Join us and let's write our next chapter together.

What You Will Be Doing
  • Design and maintain data solutions that support operational reporting and workforce management.

  • Develop and enhance Power BI dashboards, data models, and analytics solutions.

  • Support data ingestion, integration, and data quality initiatives across multiple systems.

  • Partner with Operations and business stakeholders to translate requirements into scalable technical solutions.

  • Contribute to AI governance, data governance, and compliance initiatives.

  • Create operational performance metrics supporting productivity, service, compliance, workforce management, and customer experience.

  • Design and support data solutions that enable key Workforce Management capabilities including Forecasting & Scheduling, Time & Attendance Tracking, Performance Management & Analytics, Compliance Monitoring, and Employee Self‑Service reporting.

  • Identify opportunities for automation and process improvement.

  • Support testing, implementation, and continuous improvement activities.

  • Collaborate closely with customs experts, operations teams, product owners, and technology partners to understand business problems and translate them into analytical solutions.

  • Present technical recommendations and analytical findings to business stakeholders.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Information Systems, Data Analytics, Mathematics, or a related field.

  • Experience in data engineering, analytics engineering, process engineering, or business…

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