Senior Data Engineer (m/f/d) Databricks
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Summary
Senior Data Engineer at Deutsche Telekom in Granada designing and evolving ETL/ELT processes on Databricks across Data Lake, Data Warehouse, and Lakehouse environments. The role sets pipeline standards and data quality controls, mentors the data engineering team, and coordinates with architects, BI, and data science.
Experteer Overview
¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar.
As a Databricks Senior Data Engineer, you will design and evolve ETL/ELT processes for the data platform to meet business needs. You will implement data ingestion, transformation, and persistence across Data Lake, Data Warehouse, or Lakehouse environments. You act as a technical reference, mentoring the Data Engineering team and guiding design decisions with clients. You will work with architects, BI, and data science teams to ensure a coherent data ecosystem and scalable, reliable data workflows.
Compensaciones / Beneficios
• Define and evolve ETL/ELT processes for the data platform
• Design and implement ingestion, transformation, and persistence in Data Lake/Warehouse/Lakehouse
• Establish data quality controls, validations, and traceability
• Set technical standards and development patterns for data pipelines
• Mentor and provide expert support, code reviews for the Data Engineering team
• Engage with clients as technical expert in xqbhyrx design decisions and data strategy
• Coordinate with architects, BI and data science teams to ensure data ecosystem coherence
• Optimize performance, scalability, and reliability of data processes
• Document architecture, data flows, and critical processes
Responsabilidades
•
Requisitos principales
•
¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar.
As a Databricks Senior Data Engineer, you will design and evolve ETL/ELT processes for the data platform to meet business needs. You will implement data ingestion, transformation, and persistence across Data Lake, Data Warehouse, or Lakehouse environments. You act as a technical reference, mentoring the Data Engineering team and guiding design decisions with clients. You will work with architects, BI, and data science teams to ensure a coherent data ecosystem and scalable, reliable data workflows.
Compensaciones / Beneficios
• Define and evolve ETL/ELT processes for the data platform
• Design and implement ingestion, transformation, and persistence in Data Lake/Warehouse/Lakehouse
• Establish data quality controls, validations, and traceability
• Set technical standards and development patterns for data pipelines
• Mentor and provide expert support, code reviews for the Data Engineering team
• Engage with clients as technical expert in xqbhyrx design decisions and data strategy
• Coordinate with architects, BI and data science teams to ensure data ecosystem coherence
• Optimize performance, scalability, and reliability of data processes
• Document architecture, data flows, and critical processes
Responsabilidades
•
Requisitos principales
•