Senior Data Engineer & Business Intelligence Consultant (M/F/D)
Tasks:
- Enhance and extend existing data pipeline architectures by integrating new data sources.
- Design, develop, and optimize curated data models for scalable analytics and reporting.
- Industrialize existing proof-of-concept (PoC) solutions by transforming Python-based prototypes into production-ready data pipelines.
- Develop and optimize interactive Power BI dashboards and reporting solutions for business stakeholders.
- Configure and manage MLflow for model tracking, versioning, and lifecycle management.
- Design, orchestrate, and monitor robust data pipelines, workflows, and scheduling processes.
- Build and optimize data preparation layers to support high-performance Power BI reporting.
- Improve query performance and optimize reporting data models for scalability and efficiency.
- Implement automated testing and quality assurance processes to detect data drift and ensure reliable data ingestion.
- Establish metadata governance, maintain data catalogs, and implement appropriate data classification standards.
- Manage deployment, release, and operational support of developed data solutions.
- Produce comprehensive technical documentation, including data models, implementation guidelines, and example queries.
- Configure and validate Row-Level Security (RLS) to ensure secure access to reporting data.
- Translate complex analytical results into intuitive dashboards and business-oriented visualizations.
- Support knowledge transfer and enable internal teams to independently maintain and further develop the solution.
Qualification:
- Several years of professional experience as a Data Engineer, Analytics Engineer, or Business Intelligence Consultant.
- Strong expertise in Python-based data engineering and modern data pipeline development.
- Hands-on experience with Databricks, Power BI, and cloud-based data platforms.
- Experience designing scalable data models and optimizing reporting architectures.
- Practical knowledge of MLflow, workflow orchestration, and production deployment of data solutions.
- Strong understanding of metadata management, data governance, and data quality assurance.
- Experience implementing Row-Level Security (RLS) and enterprise reporting solutions.
- Familiarity with Jira, Confluence, and collaborative software development practices.
- Strong analytical, documentation, and communication skills.
- Fluent English is required.
Requirements:
- Start: 1.9.26
- Duration:
- Capacity: Full-time (5 days per week)
- Location: Remote + 2 days/months in the greater Munich area
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