Data engineer

Hp Scds; León; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Hp Scds is looking for a Data Engineer to develop data pipelines and support the migration of data from HP business systems into a Federated Data Lake on Databricks. You will build ingestion and transformation pipelines using Python and SQL, integrating data from enterprise sources and validating results.

The role is hands-on, collaborative, and great for someone who wants to grow Databricks expertise while helping modernize HP's data landscape and empower analytics and reporting across the

Formación

• Hands-on experience with Databricks and Python.
• Strong SQL skills and ETL/ELT pipeline knowledge.
• Understanding of Data Lake and Lakehouse concepts.
• Familiarity with Git and collaborative development practices.
• Ability to deliver well-defined tasks independently and collaborate on complex challenges.

Responsabilidades

• Build and maintain data ingestion and transformation pipelines in Databricks.
• Develop data processing solutions using Python and SQL.
• Integrate data from enterprise systems, APIs, databases and files.
• Validate migrated datasets and troubleshoot data quality and pipeline issues.
• Collaborate with data engineers, application developers and business stakeholders.

Conocimientos

Databricks experience

Python

SQL

ETL/ELT pipelines

Git

Herramientas

Delta Lake

CI/CD

Descripción del empleo

Help us connect enterprise data and build reliable foundations for business applications, analytics and reporting.

We’re looking for a Data Engineer to develop data pipelines and support the migration of data from HP business systems, including SAP and Microsoft Dynamics, into our Federated Data Lake on Databricks.

Your mission:

• Build and maintain data ingestion and transformation pipelines in Databricks.
• Develop data processing solutions using Python and SQL.
• Integrate data from enterprise systems, APIs, databases and files.
• Validate migrated datasets and troubleshoot data quality and pipeline issues.
• Collaborate with data engineers, application developers and business stakeholders.

What you’ll bring:

• Hands-on experience with Databricks and Python.
• Good knowledge of SQL and ETL/ELT pipelines.
• Understanding of Data Lake and Lakehouse concepts.
• Familiarity with Git and collaborative development practices.
• Ability to deliver well-defined technical tasks independently and collaborate on more complex challenges.

Nice to have:

• Experience with PySpark and Delta Lake.
• Experience integrating SAP, Microsoft Dynamics or similar enterprise systems.
• Familiarity with data quality, governance and CI/CD practices.

Work alongside colleagues across data engineering, application development and business teams.

Contribute to the modernization of HP’s data landscape.

Deepen your Databricks and Python expertise while taking ownership of data engineering deliverables.

This is an intermediate-level role for someone with practical data engineering experience who wants to grow through hands-on delivery and collaboration.