Databricks Data Engineer — Cloud Lakehouse & AI Analytics

Concentrix; Galicia; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Concentrix is seeking a talented Databricks Engineer to design, develop, and optimize scalable data solutions powering BI, analytics, reporting, and AI initiatives. You will collaborate with data engineers, analysts, and stakeholders to deliver reliable data products that enable data-driven decisions.

The role emphasizes Databricks Lakehouse, cloud-native architectures, and data engineering best practices. Proficiency in Python, Spark, PySpark, and .NET/C# is advantageous for seamless

Formación

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent practical experience.
• Hands-on experience with Databricks and modern data engineering methodologies.
• Strong experience developing data pipelines using Python, Spark, and PySpark.
• Experience working with cloud platforms, preferably Microsoft Azure.
• Strong SQL skills and understanding of data warehousing concepts.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Databricks and cloud-native technologies.
• Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured datasets.
• Develop robust data models, data quality frameworks, and monitoring solutions to ensure platform reliability.
• Support advanced analytics, machine learning, AI initiatives, and enterprise reporting through high-quality data products.
• Collaborate with business stakeholders and technical teams to translate requirements into scalable technical solutions.

Conocimientos

Databricks

Python

Spark

SQL

Azure

CI/CD

Git

REST APIs

Educación

Bachelor's degree in CS

Herramientas

Delta Lake

Unity Catalog

Azure Data Factory

Docker

Kubernetes

Descripción del empleo

Concentrix is seeking a talented Databricks Engineer to design, develop, and optimize scalable data solutions powering BI, analytics, reporting, and AI initiatives. You will collaborate with data engineers, analysts, and stakeholders to deliver reliable data products that enable data-driven decisions.

The role emphasizes Databricks Lakehouse, cloud-native architectures, and data engineering best practices. Proficiency in Python, Spark, PySpark, and .NET/C# is advantageous for seamless