Experteer Overview 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 / Incentivos - 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 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 processesResponsabilidades - Requisitos principales -

📌 Senior Data Engineer (M/F/D) Databricks (Granada)
🏢 Deutsche Telekom
📍 Granada