Hiring.Camp

Logistics Data Engineer

Arrow

·

Today

Location
NL-Sevenum, Netherlands (Maarten de Vriesstraat)
Type
Part-time
Department
Engineering
Source
Workday

Description

Position:

Logistics Data Engineer

Job Description:

Logistics data Engineer – Summary

We are looking for a Logistics Data Engineer to join our Logistics Engineering team for 16 hours. In this role, you will transform complex logistics and warehouse data into actionable insights that support better and faster decision-making across operations.

You will collect and consolidate data from multiple sources, ensure data quality and consistency, identify trends, root causes, bottlenecks, and optimization opportunities, and translate analytical findings into clear recommendations for stakeholders. You will also support engineering teams with data intake and contribute to the development of data-driven models that help standardize processes and improve efficiency across warehouse locations.

Key Responsibilities

  • Gather, consolidate, and validate logistics and warehouse data from multiple sources.
  • Support engineering teams by ensuring consistent and usable datasets.
  • Analyze large datasets to identify trends, root causes, and improvement opportunities.
  • Detect patterns and bottlenecks to drive process optimization across warehouse operations.
  • Translate insights into practical recommendations and quantify business impact.
  • Improve data quality, consistency, and governance.
  • Contribute to data models that enhance efficiency and standardize processes.

What Arrow Offers

  • An opportunity to work for a global Fortune 500 company.
  • Excellent growth and development opportunities.
  • Flexible working hours.
  • Freedom to initiate and manage your own projects.
  • A challenging and dynamic environment within a high-tech organization.
  • An informal, open, and collaborative workplace culture.

Location:

NL-Sevenum, Netherlands (Maarten de Vriesstraat)

Time Type:

Part time

Job Category:

Supply Chain Services

Skills

Warehouse Operations

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