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Data Engineer - Business Intelligence - Deutsche Glasfaser Holding GmbH
Data Engineer
Lead the design and maintenance of scalable data pipelines and BI solutions, leveraging Python, SQL, and cloud services to deliver actionable insights for business stakeholders.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines that ingest, transform, and load data from diverse sources into a centralized data warehouse.
- Collaborate with data analysts and business users to define data models, dashboards, and reports that support strategic decision‑making.
- Optimize data storage and query performance using SQL, columnar storage, and partitioning strategies.
- Implement data quality checks, monitoring, and alerting to ensure high data integrity and availability.
- Leverage cloud services (AWS) and big‑data technologies (Apache Spark) to scale processing and storage solutions.
Requirements
- Proven experience as a data engineer or similar role, with strong proficiency in Python and SQL.
- Hands‑on experience building ETL workflows and managing data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Solid understanding of BI tools (Power BI, Tableau, Looker) and data visualization best practices.
- Familiarity with cloud platforms (AWS) and big‑data frameworks (Spark, Hadoop).
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonsqlawsapache spark