Lead Data Engineer - Azure Data Platform & Pipelines

Omya Group; Barcelona; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid Work Model

Ticket Restaurant

Flexible retribution

30 Labor Days of Holidays

Language Lessons

Medical Insurance

Open and Modern Office Environment

Descripción de la vacante

Omya Group is seeking a Lead Data Engineer to design and implement robust data ingestion and transformation pipelines in a hybrid Barcelona office. You will manage data storage and processing layers, ensure performance and quality, and drive best practices across the data engineering team.

You will provide technical leadership and mentoring to engineers, leveraging Azure Data Platform (Data Lake, Databricks, Synapse/Fabric) and CI/CD for data workflows.

Formación

• Experience with Azure Data Platform including Data Lake, Databricks, Synapse or Fabric.
• Hands-on experience designing and building ETL/ELT pipelines.
• Strong data quality validation and performance optimization skills.
• Familiarity with CI/CD concepts for data pipelines.

Responsabilidades

• Design and build data ingestion and transformation pipelines.
• Manage data storage and processing layers.
• Ensure data performance, reliability, and quality.
• Implement data engineering best practices and standards.
• Provide technical leadership and mentoring to data engineers.

Conocimientos

Azure Data Platform

ETL/ELT pipelines

Structured data processing

Semi-structured data processing

Data quality validation

CI/CD for data pipelines

Descripción del empleo

Omya Group is seeking a Lead Data Engineer to design and implement robust data ingestion and transformation pipelines in a hybrid Barcelona office. You will manage data storage and processing layers, ensure performance and quality, and drive best practices across the data engineering team.

You will provide technical leadership and mentoring to engineers, leveraging Azure Data Platform (Data Lake, Databricks, Synapse/Fabric) and CI/CD for data workflows.