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# Senior Databricks Engineer

- **Company:** Riskpod
- **Location:** Madrid, Spain
- **Salary:** €104,000
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Data Transformation, Python (Programming Language), Performance Tuning, Standard Sql, Data Processing, Data Ingestion, Pyspark, Data Pipelines, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.buscojobs.com.es/senior-databricks-engineer-en-madrid-ID-378559784

## About the Role

Strong hands-on experience in Databricks
Advanced PySpark development
Experience building end-to-end data pipelines
Expertise in data ingestion from multiple sources (APIs, databases, files, etc.)
Strong SQL and data transformation skills
Key Responsibilities
Design and develop data pipelines from source systems to Gold layer datasets
Implement data ingestion, transformation, and optimization using Databricks
Build scalable PySpark-based data processing pipelines
Ensure data quality, performance optimization, and maintainability
Client is specifically looking for strong hands-on engineers who can write PySpark/Python code and implement pipelines independently.
#J-*****-Ljbffr

## Description

My client is looking for a Databricks Data Engineer - 12 Month Contract paying 400 Euros per day.Work Timings: Swiss/Spanish Business HoursExperience Range: 6-10 yearsMandatory SkillsStrong hands-on experience in DatabricksAdvanced PySpark developmentExperience building end-to-end data pipelinesExpertise in data ingestion from multiple sources (APIs, databases, files, etc.)Strong SQL and data transformation skillsKey ResponsibilitiesDesign and develop data pipelines from source systems to Gold layer datasetsImplement data ingestion, transformation, and optimization using DatabricksBuild scalable PySpark-based data processing pipelinesEnsure data quality, performance optimization, and maintainabilityClient is specifically looking for strong hands-on engineers who can write PySpark/Python code and implement pipelines independently.#J-*****-Ljbffr