
Senior Data Engineer (f/m/d)
- Comunidad de Madrid
- Permanente
- Tiempo completo
- Develop data products within a centralized platform for diverse customers.
- Create ETL and ELT workflows in Databricks, including DLT Pipelines.
- Manage event-driven data processing and high-resolution timeseries data.
- Establish a Data Mesh for efficient data product management.
- Oversee cloud resources for data orchestration and transformation.
- Collaborate in agile setups to enhance data solutions.
- Bachelor's or master's degree in Engineering, Computer Science, or a related field.
- Over 4 years of experience in implementing data solutions, especially with timeseries data.
- Proficient in Python (pyspark, pandas) and SQL, with knowledge of Databricks.
- Experience with Azure Functions, APIs, and Terraform for resource management.
- Familiarity with reporting tools like Power BI and concepts like Data Mesh.
- Fluent in English; German language skills are a plus.
- Lunch vouchers
- Health insurance
- Yearly Performance Bonus
- LinkedIn Learning / Plural Sight
- 90% discount on the nearby gym
- Hybrid work with 2 days at office
- Flexible Schedule
- 23 days of holidays
- Language lessons
- Learning and development opportunities
- Periodical travels to Switzerland