Azure Databricks Data Engineer & Architect Lead

Miratech; Barcelona; Híbrido; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A global IT services company located in Barcelona is seeking an experienced Azure Databricks Data Engineer/Data Architect to design and implement scalable data solutions. Responsibilities include developing ETL/ELT pipelines, ensuring data quality, and optimizing cloud architectures. The ideal candidate has strong proficiency in Python, SQL, and extensive experience with cloud platforms, particularly Azure. This role offers competitive compensation, benefits, and a work-from-anywhere culture.

Servicios

Health insurance

Relocation program

Professional development opportunities

Flexible remote work

Inclusive company culture

Formación

• Strong proficiency in Python and Apache Spark for large-scale distributed data processing.
• Solid experience with SQL and NoSQL databases, including data modeling and query optimization.
• Hands-on experience designing workflows using data pipeline orchestration tools.
• Experience with cloud-native data platforms, ideally in Azure.
• Understanding of data quality frameworks, testing methodologies, and CI/CD pipelines.

Responsabilidades

• Architect, design, and implement scalable data solutions on Azure and Databricks.
• Build, automate, and orchestrate robust ETL/ELT pipelines.
• Ensure data quality through automated unit, integration, and validation testing.
• Manage data ingestion and integration from on-premise systems to cloud environments.
• Implement and maintain Data Governance frameworks.

Conocimientos

Python

Apache Spark

SQL

NoSQL

Data pipeline orchestration tools

Azure

Infrastructure as Code

Data quality frameworks

Business Intelligence

Machine Learning

Herramientas

Databricks

Azure Data Factory

Azure Functions

Descripción del empleo

A global IT services company located in Barcelona is seeking an experienced Azure Databricks Data Engineer/Data Architect to design and implement scalable data solutions. Responsibilities include developing ETL/ELT pipelines, ensuring data quality, and optimizing cloud architectures. The ideal candidate has strong proficiency in Python, SQL, and extensive experience with cloud platforms, particularly Azure. This role offers competitive compensation, benefits, and a work-from-anywhere culture.