Data Engineer
Summary
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Location: Spain (Hybrid)
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Key Responsibilities
- 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.
Required Skills
- 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.
What We Offer
- Opportunity to work on large-scale Data & AI transformation projects.
- Exposure to cutting-edge cloud and analytics technologies.
- Continuous learning, certifications, and career growth. xqbhyrx
- Collaborative and inclusive work environment.