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

We are currently seeking a talented Data Engineer to join our team at BASF´s Agricultural Solutions department Digital Factory.

RESPONSIBILITIES

- Assist in the design and development of scalable and efficient cloud-based data pipelines using Databricks and Azure Data Factory.
- Support the integration of real-time streaming solutions with Event Hubs and Kafka for data ingestion and processing.
- Help optimize data storage and transformation using Azure Data Lake Storage Gen2 (ADLS Gen2).
- Write clean and efficient code in Python and PySpark to process and analyze datasets.
- Collaborate with cross-functional teams to gather data requirements and implement solutions that align with business goals.
- Monitor and troubleshoot cloud-based data platforms and pipelines, contributing to performance improvements.
- Ensure adherence to data quality, governance, and security standards across data solutions.

REQUIREMENTS OF THE POSITION

- Basic knowledge of Databricks and Azure Data Factory for building data pipelines and workflows.
- Familiarity with Event Hubs and Kafka for real-time data streaming and messaging.
- Understanding of Azure Data Lake Storage Gen2 (ADLS Gen2) for data management and storage optimization.
- Proficiency in programming with Python and PySpark for data engineering tasks.
- Awareness of data integration, transformation, and optimization best practices in cloud environments.
- Experience or coursework in large-scale data processing and real-time streaming architectures is a plus.
- Familiarity with Azure cloud services and related tools is advantageous.
- Strong analytical and problem-solving skills with a focus on performance and scalability.

NICE TO HAVE

- Relevant coursework or certifications in Azure data engineering, cloud platforms, or related technologies.
- Exposure to CI/CD pipelines for cloud data solutions is a plus.
- Basic knowledge of machine learning concepts and integration within data pipelines (optional).

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