Supply Chain Data Engineer (m/f/d) at MediaSaturn Deutschland GmbH
85053 Ingolstadt, , Germany -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

0.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Tableau, Google Data Studio, Supply Chain, Looker, E Commerce, Power Bi

Industry

Logistics/Procurement

Description

SUPPLY CHAIN DATA ENGINEER (M/F/D)

For us „Let’s Go!“ is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.

PREFFERED QUALIFICATIONS

  • Experience applying machine learning or large language models in business or supply chain contexts
  • Experience with supply chain or operations data
  • Knowledge of data visualization tools (Tableau, Power BI, Looker, Google Data Studio)
  • Experience integrating generative AI models
  • Familiarity with orchestration tools (Terraform)
  • Understanding of omni-channel retail or e-commerce environments

ABOUT US

We are a dynamic Demand & Supply Planning team driving a major transformation. Our mission: build a fully automated, data-driven supply chain that delivers efficiency, innovation, and outstanding customer experiences. With advanced systems and bold thinking, we automate processes end-to-end, eliminate inefficiencies, and stay ahead of market demands—strengthening our position as a leading omnichannel retailer. Every team member shapes this journey. We invest in people, empower growth, and celebrate success together. Join us to redefine what’s possible in supply chain and make a real impact every day.

Responsibilities
  • Manage and secure cloud-based supply chain data for analytics
  • Design and optimize data pipelines, models, dashboards, and automations using Python and SQL
  • Apply machine learning and large language models to KPIs such as order proposals, forecast accuracy, and inventory turns
  • Collaborate with planners and stakeholders to translate requirements into scalable data solutions
  • Drive adoption of new technologies and analytical methods
  • Document data flows, processes, and best practices while providing technical guidance to the team
  • Prioritize and deliver multiple high-impact projects under tight timelines
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