Job details:

Position: Data Engineer L3 / Data Analyst / Data Scientist
Location: 100% Remote (with occasional travel)
Duration: 01 July 2026 – 31 December 2026
Employment Type: Contract
 
We are looking for an experienced Data Engineer L3 / Data Analyst / Data Scientist to join a Quality Data & Cloud Competence Center (QDCC) initiative. The role focuses on building analytical solutions that enable preventive anomaly exploration and support data-driven quality management across engineering, development, and operations.

This is a fully remote position, with occasional travel to the client site in Stuttgart, Germany (approximately 2 nights per quarter).

German language skills are strongly preferred due to close collaboration with business stakeholders.
 

Scope:

• Design, develop, and support end-to-end QDCC data products and analytical solutions.
• Analyze quality, process, and product data to identify anomalies and improvement opportunities.
• Develop analytical models, KPIs, and reporting that support quality and operational decision-making.
• Collaborate with Product Owners, Data Engineers, and business stakeholders across Quality, Development, and Operations.
• Translate analytical findings into rule-based monitoring concepts (experience is beneficial but not mandatory).
• Implement both functional and non-functional data requirements.
• Prepare management-ready dashboards, reports, and visualizations.
• Document code, data products, and technical solutions according to PITT standards.
• Ensure compliance with IT security and governance standards defined by the client.
• Participate actively in Agile ceremonies (SCRUM / SAFe).

Skills:

• Strong experience with Python
• Advanced SQL development and optimization
• Experience with Apache Spark (Batch; Streaming is a plus)
• Experience working with distributed data systems and modern data architectures
• Data modeling and optimization using Apache Iceberg: Table design, Partitioning strategies, Performance optimization
• Experience with Cloudera or enterprise data platforms
• Experience using: GitLab, Jira, Confluence
• Ability to create executive-level visualizations and analytical reports

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