Data Engineer (m/f/d)

ABOUT US

At BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.

We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities. We are committed to fostering an inclusive workplace and strongly encourage applications from individuals with disabilities. We value diversity and believe that varied perspectives enhance our team's effectiveness. Our hiring practices are designed to ensure equal opportunity for all candidates.

WHAT YOU CAN EXPECT

Master Data is the backbone of any digital enterprise — getting it right is essential to enable automation, enhance decision-making, and deliver seamless customer experiences. As we continue to industrialize our data landscape, we are looking for passionate individuals who want to make a difference by ensuring that our MDM systems are reliable, scalable, and aligned with our global data strategy. Join us in building a connected data enterprise where high-quality master data powers innovation, compliance, and business growth across the agricultural value chain.

RESPONSIBILITIES
Design, develop, and maintain scalable data models to support analytics across multiple business domains.
Define and implement domain entities ensuring normalized, well-structured data for reporting and BI.
Build and manage data integration workflows using Azure Data Factory, Azure Databricks, and other ETL tools.
Perform data manipulation and transformation with SQL, Python, and PySpark within Azure Databricks.
Optimize data storage solutions in Azure Data Lake, Azure SQL Database, and related services for performance and efficiency.
Monitor, troubleshoot, and maintain ingestion pipelines to ensure data quality, integrity, and reliability.
Document data models, architecture, and processes for compliance and future reference.
Stay current with Azure technologies and data engineering trends to continuously improve solutions.
Collaborate with the Master Data Platform team to deliver high-quality data, enable API-based consumption, and support data product development.
REQUIREMENTS OF THE POSITION
Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in data engineering or a related role, preferably in an Azure environment.
Proven expertise as a Data Engineer, with hands-on experience in Azure-based solutions.
Strong proficiency in Azure services: Azure SQL Database, Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics.
Solid knowledge of data modelling techniques, relational database design, and NoSQL databases.
Advanced skills in SQL and Python for data processing and analysis; familiarity with PySpark.
Understanding of data warehousing concepts, best practices, and performance optimization.
Fluent in English; German is a plus.
Knowledge in Master Data is a BIG plus
WHAT WE OFFER
A secure work environment because your health, safety and wellbeing is always our top priority.
Flexible work schedule and Home-office options, so that you can balance your working life and private life.
Learning and development opportunities
23 holiday days per year
5 additional days (readjustment)
2 cultural days
A collaborative, trustful and innovative work environment
Being part of an international team and work in global projects
Relocation assistance to Madrid provided
HOW TO REACH US

If you're interested in the position or know someone who might be and need support on how to take next steps, please send an email to [email protected]