Lead Data Engineer: Build Scalable Pipelines & Impact

Dsm-Firmenich; Barcelona; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unique career paths

Impact millions

Growth opportunities

Collaborative culture

Inclusive workplace

Learning & mobility

Descripción de la vacante

dsm-firmenich is seeking a seasoned Data Engineer in Barcelona to design and maintain robust data pipelines enabling reliable ingestion, transformation, and storage. You will partner with data modelers, scientists, and business teams to deliver scalable solutions that improve data quality and decision-making at scale.

The role offers exposure to cutting-edge tools in a dynamic, science-driven environment with opportunities for growth, mobility across businesses, and a collaborative culture that

Formación

• 5+ years’ experience creating and maintaining data pipelines.
• Expert knowledge in SAP, SQL, Python, Spark, Git, Databricks, and dbt.
• Strong problem-solving skills.
• Ability to collaborate with data modelers for seamless data integration and transformation.
• Proficiency in modern development practices and data quality testing.

Responsabilidades

• Design and implement pipeline architectures for data ingestion, transformation, and storage.
• Develop modular, efficient code for data transformation and integration.
• Perform data ingestion from source systems including ETL when tables are not on the data platform.
• Conduct regular pipeline maintenance and upgrades, troubleshoot and resolve issues.
• Implement data quality testing and validation to maintain data integrity.

Conocimientos

Data pipeline design

Data quality testing

Problem solving

Team collaboration

Continuous learning

Communication

Herramientas

SAP

SQL

Python

Spark

Git

Databricks

dbt

Descripción del empleo

dsm-firmenich is seeking a seasoned Data Engineer in Barcelona to design and maintain robust data pipelines enabling reliable ingestion, transformation, and storage. You will partner with data modelers, scientists, and business teams to deliver scalable solutions that improve data quality and decision-making at scale.

The role offers exposure to cutting-edge tools in a dynamic, science-driven environment with opportunities for growth, mobility across businesses, and a collaborative culture that