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DataBricks Engineer

Square One Resources · Comunidad de Madrid, Spain · Hybrid · Senior

  • Comunidad de Madrid, Spain · Hybrid
  • 6 months

Indexed (yesterday) · refreshed constantly

Start
05 November 2026
Duration
6 months
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3065199

Required skills

Job description

Project overview

Databricks Data Engineer

Title: Databricks Data Engineer

Contract: Initial 6-month contract

Project details

Up to Euros 300 daily

Madrid - 2 days a week on site

Key Responsibilities

Mandatory Skills & Experience

Ideal Candidate

The ideal candidate will be a hands-on Data Engineer who can take ownership of data pipeline development, from source ingestion through to gold layer delivery, with a strong focus on scalability, performance, data quality and maintainability.

  • Design and develop end-to-end data pipelines, from source systems through to Gold layer datasets.
  • Implement data ingestion, transformation and optimisation using Databricks.
  • Build scalable and efficient data processing pipelines using PySpark.
  • Ingest and process data from multiple sources, including APIs, databases and files.
  • Implement and maintain Medallion architecture across Bronze, Silver and Gold layers.
  • Develop and optimise data transformations using SQL and Python.
  • Process large-scale datasets efficiently while maintaining data quality and reliability.
  • Ensure pipelines are maintainable, scalable and optimised for performance.
  • Strong hands-on experience with Databricks.
  • Advanced PySpark development skills.
  • Strong Python programming experience.
  • Proven experience building end-to-end data pipelines.
  • Expertise in data ingestion from multiple sources, including APIs, databases and files.
  • Experience implementing Medallion architecture (Bronze, Silver and Gold layers).
  • Strong SQL skills and experience in data transformation.
  • Experience handling large-scale data processing.
  • Start: 05 November 2026
  • Duration: 6 months
  • Remote: hybrid
  • Location: Comunidad de Madrid, Spain, ES

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