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Senior Data Engineer

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Remote

Senior Data Engineer

Energize Group

Senior Data Engineer

Skills

SQL QueriesData EngineeringPythonDatabricksPySparkTerraformAzure

1 day ago

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Important information


Contract type:

Freelance / Contract

Location:

Community of Madrid, Madrid, Spain

Work mode:

Remote

Published on:

23 October 2026

What they need


Senior Data Engineer | Azure & Databricks | Contract

Location: Spain

Working model: Remote-first

Contract: Initial 12 months + Extensions

Project: Long-term Data Platform transformation

We are looking for a Senior Data Engineer to join a large-scale Data Platform transformation within a European company in the travel technology sector.

Following significant growth, the organisation is modernising its data ecosystem and building a new Azure-based platform to consolidate data currently distributed across legacy systems, cloud applications and third-party platforms.

You will join the Data Engineering team responsible for designing, building and migrating data pipelines into the new environment.

The role

You will be responsible for:

  • Designing and developing scalable ETL/ELT pipelines
  • Building data transformations using Python, PySpark and SQL
  • Developing solutions within Azure Databricks
  • Migrating and redesigning existing data pipelines
  • Working with Delta Lake and Lakehouse architectures
  • Implementing data quality, monitoring and testing processes
  • Optimising pipelines for performance and scalability
  • Supporting CI/CD and Infrastructure as Code
  • Working closely with Data Architects, Analysts and other engineering teams

What we're looking for

  • Strong professional experience as a Data Engineer
  • Hands-on experience with Azure Databricks
  • Strong Python / PySpark development skills
  • Advanced SQL
  • Experience building production-grade data pipelines
  • Good understanding of modern data architectures
  • Experience working within complex data environments

Experience with Terraform, CI/CD, data platform migrations or large-scale datasets would be particularly valuable.

If you're an experienced Data Engineer interested in joining a major Azure and Databricks transformation , we'd be interested in hearing from you.

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