Manager Supply Chain Data Transformation

Adidas
Amsterdam
Workplace: OnsiteFull timeFunction: Supply Chain & LogisticsExperience: 2-3 yearsEducation: mastersSkills: ["End-to-end mindset","Logical thinking","Analytical skills","Stakeholder management","Ability to work under tight deadlines"]

Lead Back-End data engineering for a Supply Chain Intelligence (SCI) functional vertical pillar, driving data transparency and “one version of the truth” across the global supply chain. Own data models and lakehouse-aligned data pipelines, optimize ETL performance and metric logic, and translate SCI reporting use cases into consistent technical requirements for Agile delivery. Collaborate with data domain teams and markets to manage dependencies, improve data management, quality, documentation, and timely reporting product evolution.

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FursaFursa
Adidas
Adidas
2 hours ago

Manager Supply Chain Data Transformation

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead Back-End data engineering for a Supply Chain Intelligence (SCI) functional vertical pillar, driving data transparency and “one version of the truth” across the global supply chain. Own data models and lakehouse-aligned data pipelines, optimize ETL performance and metric logic, and translate SCI reporting use cases into consistent technical requirements for Agile delivery. Collaborate with data domain teams and markets to manage dependencies, improve data management, quality, documentation, and timely reporting product evolution.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Manager level

Key Responsibilities

  • •Take full ownership of Back-End engineering activities for a SCI functional vertical pillar, including SCM data, processes, and systems knowledge.
  • •Lead a team of external data engineers/IT developers: define data engineering tasks and monitor ETLs regularly.
  • •Architect and implement efficient data models and data pipelines following lakehouse data governance rules.
  • •Optimize data pipeline and attribute/metric logic to reduce cost and improve performance while improving data quality, standardization, and harmonization.
  • •Act as a Product Owner for SCI reporting: translate reporting use cases into technical requirements and manage Agile reporting development with timely delivery, documentation, and training for new visibility tools/processes.

Key Requirements

  • •Strong coding skills with SQL (nice to have: Python and PySpark).
  • •Hands-on experience with Databricks and/or other database/data warehouse tools.
  • •Strong understanding of data lakes, ETL, deployment tools (e.g., GitHub), and cloud technologies (AWS, Azure).
  • •Good understanding of BI tools (e.g., Power BI) and the ability to design data for efficient reporting.
  • •Master’s degree (or equivalent) in IT or supply chain/logistics/planning/business administration; minimum 2-3 years of relevant work experience.
Experience:2-3 yearsSupply chainLogisticsReporting & analytics
Education:Master's in information technology or supply chain management, logistics, planning, business administration
Skills:End-to-end mindsetLogical thinkingAnalytical skillsStakeholder managementAbility to work under tight deadlines
Tech Stack:SQLPythonPySparkDatabricksGitHubAWSAzureETLData lakeLakehousePower BISAP S/4 HANASAP IBPAgile

Company Brief

Adidas
Global sportswear company designing, manufacturing, and selling athletic footwear, apparel, and accessories. Serves consumers and athletes through branded products, direct-to-consumer retail, and wholesale channels worldwide.
Industry: Fashion & Apparel
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Herzogenaurach, Germany
Founded: 1949
Glassdoor
Glassdoor: 3.8
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