AI Analytics Engineer Go to Market (f/m/div.)
- Erfahrung
- ab 5 Jahren
- Englisch
- C1, erforderlich
- Methoden
- Agile, CI/CD, DevOps
- Ausbildung
- Master oder gleichwertige Erfahrung
Your contribution to something big: As a Data Engineer , you will build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives. Working in an international team, you will turn business needs into reliable, high-quality data products. Build and operate scalable data solutions: Develop, maintain and continuously improve automated ETL pipelines, data products and data models that support digital procurement and AI use cases.
Turn business needs into data solutions: Translate customer and stakeholder requirements into robust data transformations and models that enable reporting, analytics and informed decision-making. Ensure data quality and reliability: Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers. Enable data-driven decisions: Support ad-hoc analyses and develop solutions that can be documented, scaled and reused across the organization.
Drive reliable data operations: Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking. Collaborate internationally: Work closely with project management, customers, IT teams and other stakeholders, balancing business needs with technical and organizational frameworks. Bring a service-oriented mindset: Act as a trusted partner for data consumers and stakeholders, focusing on practical solutions and measurable business va