Experteer Overview

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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 / Ventajas

- 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 xugodme 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

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Requisitos principales

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📌 Senior Data Engineer (m/f/d) Databricks (Reus)
🏢 Deutsche Telekom
📍 Reus