Digital Twin Implementation Specialist (EU & UK)

WareBee ltd.

United Kingdom

Presencial

GBP 50.000 - 75.000

Jornada completa

14 días+

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Descripción de la vacante

WareBee is an AI Warehouse Consultant powered by Digital Twin technology. We build models of warehouses that merge physical space, processes, and real data to help clients move items, improve layouts, and make work safer and faster.

We are seeking an implementation-focused professional who can turn messy data into clarity, work closely with customer teams, and guide them in making WareBee part of their daily operations.

Formación

  • Fluent English (required — daily customer interaction).
  • Proficiency in SQL (required — to clean, transform, and query data).
  • A “data mindset” — you think in systems, spot patterns, and design better processes through data.
  • A hands-on, practical approach — you care about making things work.

Responsabilidades

  • Connect & configure — work with customer teams to set up their warehouse Digital Twin and integrate their data (no code).
  • Tame messy data — clean, structure, and transform WMS data using SQL so it’s reliable and ready for decisions.
  • See & understand — help analyse warehouse processes, uncover inefficiencies, and turn data into clear actions.
  • Guide action — translate WareBee’s recommendations into real changes: from how items are slotted to how workflows run on the floor.
  • Drive improvement — support continuous improvement initiatives, measure results, and help teams scale what works.
  • Be the bridge — support customer teams daily, making sure WareBee becomes a trusted part of how they run operations.

Conocimientos

Fluent English
SQL proficiency
Data mindset
Practical approach

Educación

Degree in supply chain / logistics / engineering / computer science

Descripción del empleo

WareBee is an AI Warehouse Consultant empowered by Digital Twin technology. We build living models of warehouses that merge physical space, processes, and real data.

Teams use WareBee not only to see what’s happening and understand why, but also to get clear suggestions on what to do next. And the impact is tangible: items move, layouts change, and people’s work becomes easier, faster, and safer.

We’re looking for someone who can turn messy warehouse data into clarity and guide customers in making WareBee part of their daily operations. This is an implementation role: you’ll be close to customers, helping them unlock value from data, simulations, and WareBee’s guidance on how to improve.

What you’ll need
  • Fluency in English (required — daily customer interaction)
  • Proficiency in SQL (required — to clean, transform, and query data)
  • A “data mindset” — you think in systems, spot patterns, and design better processes through data
  • A hands-on, practical approach — you care about making things work
What you’ll be doing
  • Connect & configure — work with customer teams to set up their warehouse Digital Twin and integrate their data (no code)
  • Tame messy data — clean, structure, and transform WMS data using SQL so it’s reliable and ready for decisions
  • See & understand — help analyse warehouse processes, uncover inefficiencies, and turn data into clear actions
  • Guide action — translate WareBee’s recommendations into real changes: from how items are slotted to how workflows run on the floor
  • Drive improvement — support continuous improvement initiatives, measure results, and help teams scale what works
  • Be the bridge — support customer teams daily, making sure WareBee becomes a trusted part of how they run operations
Nice to have
  • Experience with warehousing and logistics
  • Additional European languages (German, French, Spanish, Italian, or Dutch)
  • A degree in Supply Chain, Logistics, Engineering, Computer Science, or a related field
  • Experience in structured, KPI-driven environments
  • Hyper-logical thinking and outstanding attention to detail
  • Curiosity and persistence when working with messy, real-world data
  • Clear communication skills, able to explain complex insights simply
  • Background in operations research, systems modelling, or simulations
  • Good analytical and problem-solving skills
  • A genuine interest in business improvement and operational change
  • Familiarity with Lean / Six Sigma or continuous improvement frameworks
About you

We’re looking for someone with the drive and potential to grow — experience is not required, but a proactive mindset and willingness to learn are essential.

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