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 / Incentivos 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 & Labs (Barcelona)
🏢 dsm-firmenich
📍 Barcelona