Senior Databricks Engineer

Riskpod
Madrid, Spain
2 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
6 years minimum
Compensation
€104,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Databases Data Transformation Python (Programming Language) Performance Tuning Standard Sql Data Ingestion Apache Spark Data Pipelines Databricks

Job description

My client is looking for a Databricks Data Engineer - 12 Month Contract paying 400 Euros per day.Work Timings: Swiss/Spanish Business Hours Experience Range: 6-10 years Mandatory Skills Strong hands-on experience in Databricks Advanced Py Spark 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 Py Spark-based data processing pipelines Ensure data quality, performance optimization, and maintainability Client is specifically looking for strong hands-on engineers who can write Py Spark/Python code and implement pipelines independently.#J-*****-Ljbffr

Requirements

Work Timings: Swiss/Spanish Business Hours Experience Range: 6-10 years Mandatory Skills Strong hands-on experience in Databricks Advanced Py Spark 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 Py Spark-based data processing pipelines Ensure data quality, performance optimization, and maintainability Client is specifically looking for strong hands-on engineers who can write Py Spark/Python code and implement pipelines independently. #J-*****-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Enhancing Databricks tooling for software engineering workflows

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Executing Databricks jobs with built-in Airflow operators

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Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

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Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

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Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

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Building generic custom operators for Databricks APIs

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