Overview
As a Data Engineer at dsm-firmenich, you design and maintain robust data pipelines to enable reliable data ingestion, transformation, and storage. You will work closely with data modelers, scientists, and business partners to deliver scalable, high-quality data solutions. This role offers exposure to cutting-edge tools in a dynamic, science-driven environment and impactful projects that support the company’s mission to improve health and beauty outcomes. You will drive data quality, performance, and continuous improvement, shaping how data informs decisions at scale.
Compensaciones / Ventajas
unique career paths across health, nutrition and beauty
impact millions of consumers
growth opportunities
collaborative culture
inclusive and equal opportunity
learning and mobility across businesses
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
Requisitos principales
~5+ years’ experience in 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
~ Commitment to continuous learning and improvement

collaboration
problem-solving
continuous learning
SAP
SQL
Python

📌 Lead Expert D&T Data Engineer Research, Innovation (Barcelona)
🏢 Jobrapido
📍 Barcelona