IT-Systemhaus der Bundesagentur für Arbeit

Supplier Quality Data and Digitalization Expert (f/m/d)

Stellenbeschreibung:

Job Title

Supplier Quality Data and Digitalization Expert (f/m/d)

Location

Berlin

A Snapshot of Your Day

We are seeking a technical and innovative professional to drive the hands‑on implementation, automation, and optimization of GS C P SQD’s digital infrastructure. In this role, you will lead the technical deployment of IT tools, data engineering solutions, and AI applications to build a robust, scalable, and resilient supplier quality ecosystem.

How You’ll Make an Impact

  • Lead the technical implementation, configuration, and development of GS C P SQD digitalization projects
  • Deep dive into IT toolsets to customize, integrate, and optimize supplier quality software and platforms
  • Build and maintain robust data pipelines to ensure flawless data quality, integrity, and synchronization across all systems
  • Develop and maintain dynamic KPI dashboards, predictive reporting frameworks, and AI‑driven solutions to enhance decision‑making and process performance
  • Translate supplier quality process requirements into standardized, scalable digital workflows that drive efficiency and consistency; act as the primary technical interface for IT‑related topics, providing troubleshooting, advanced tool training, and digital enablement support for global users
  • Translate global strategies into practical digital solutions that support supplier quality objectives; collaborate closely across product lines, regions, central IT departments, and global SQ teams, to ensure system compatibility, knowledge sharing, and smooth solution rollouts

What You Bring

  • Bachelor’s or Master’s degree in IT, Computer Science, Data Engineering, or an Engineering/Supply Chain discipline with a strong software focus
  • Proven experience in data analytics, database management, BI tools (Power BI, Tableau), and automation platforms
  • Hands‑on experience or familiarity with programming languages and applying AI/Machine Learning models to business processes
  • Strong understanding of how digital tools apply to Supply Chain, Procurement, or Supplier Quality processes
  • Excellent technical communication skills, with the ability to explain complex digital solutions to non‑technical global teams
  • Fluent in English; additional languages are a plus

Benefits

  • In addition to an attractive remuneration package in line with the market, you can expect an attractive employer‑financed company pension scheme
  • We also offer the opportunity to become a Siemens Energy shareholder
  • We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
  • The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self‑determined way, various attractive programmes and learning materials are available for this purpose
  • In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part‑time work or even a sabbatical

Equal Opportunity Statement

We value equal opportunities and welcome applications from people with disabilities.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Berlin

    Einsatzort:

    Kreis Nordfriesland, Fachdienst Personal
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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