Azure Data Engineer (Freelance)

Azure Data Engineer (Freelance Contract)

Location: Ideally Spain or Portugal (Mainly Remote)

✈️ Travel: Approx. 2–4 days per month

Start Date: 7th April 2026

Duration: 31st January 2027 (extensions very likely)

About the Role

We are currently looking for an experienced Azure Data Engineer to join a large-scale data migration and transformation programme.

This is a hands-on role within a modern Azure environment, where you will be responsible for building and executing data pipelines, transforming data across multiple systems, and working closely with both technical and business stakeholders.

Key Responsibilities

  • Design and develop ETL/ELT pipelines using Azure Data Factory and Databricks
  • Build and maintain data transformation processes in Databricks (PySpark)
  • Gather and translate business and technical requirements into data solutions
  • Integrate data from multiple source systems (e.g. SAP, legacy applications, APIs)
  • Define and implement data transformation logic and business rules
  • Support and coordinate data cleansing activities with stakeholders
  • Execute data migration processes and deliver structured datasets
  • Ensure data quality, validation, and monitoring across pipelines
  • Contribute to data warehouse / lakehouse design and modelling
Required Skills & Experience
  • Strong hands-on experience with:
Azure Data Factory

Azure Databricks (PySpark)

ETL / ELT pipeline development

  • Experience working on data migration or data integration projects
  • Strong understanding of data transformation and data quality processes
  • Experience with data modelling (star schema / dimensional modelling)
  • Proficiency in SQL and Python
  • Fluent Spanish (mandatory) & English
  • Strong communication skills with the ability to explain technical concepts clearly
  • Comfortable working with business stakeholders and cross-functional teams
Nice to Have
  • Experience with SAP or ERP systems
  • Experience with Azure Data Lake / Synapse
  • Exposure to Power BI or reporting layers
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