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Data Engineer

Comunidad de Madrid
Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.jobleads.com

Tech stack

Agile Methodology Microsoft Azure Big Data Data Architecture Data Integration Extract Transform Load (ETL) Data Transformation Data Warehousing Performance Tuning SQL Databases Cloud Platform System Azure Data Factory
+4 more
Apache Spark Pyspark Data Pipelines Databricks

Job description

  • Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
  • Build and optimize data processing workflows using Databricks and Azure Data Factory.
  • Develop and enhance data transformation logic using SQL, Spark, or PySpark.
  • Support data integration, data quality, and performance optimization initiatives.
  • Collaborate with business and technical teams to deliver data-driven solutions.
  • Work with cloud-based data platforms and modern data architectures.

Requirements

  • Hands-on experience with Databricks and/or Azure Data Factory (ADF).
  • Experience in ETL/ELT and data integration projects.
  • Knowledge of Azure cloud services.
  • Understanding of data warehousing concepts and data architectures.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Spark / PySpark.
  • Medallion Architecture.
  • Experience working in Agile environments.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

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