Referent / Referentin Reporting (m/w/d)
Core
Design, development, and optimization of Business Intelligence infrastructure, data architectures, and ETL/ELT pipelines to ensure efficient data processing and delivery for executive and departmental reporting.
Role type
Senior Data Engineering / Analytics Engineering Lead
Builds
Scalable BI systems, data warehouses, and automated reporting solutions
Domain
Automotive industry, Data Engineering, Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL/ELT processes, SQL/NoSQL databases, Cloud data platforms (Snowflake, AWS, Azure), Analytics Engineering (dbt), Python, Data pipeline management, CI/CD, Data quality assurance
Preferred skills
Project management, Transformation projects, Agile methodologies (Scrum/Kanban), Additional scripting languages
Technologies
Snowflake, AWS, Microsoft Azure, dbt, Power BI, Tableau, Qlik, Git, Jira, Confluence
Responsibilities
Plan and optimize BI infrastructure and data architectures, Design and develop ETL processes for data integration, Monitor and optimize BI system performance, Ensure data quality and integrity, Develop dashboards and reports for leadership, Document best practices for data architectures
Seniority
Senior, hands-on IC with leadership in modernization
