Senior Specialist Digitalization
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At BASF | Nunhems, we create innovative seed varieties and smart solutions for tomorrow’s needs. With over 100 years of breeding experience, we combine genetics, data, and global partnerships to deliver vegetables people love — today and for generations to come. To further develop and grow this ambition we are looking for a Senior Specialist Digitalization (Scientific Data Integration & Virtualization Lead)-BASF | Nunhems.
Your Job
At BASF | Nunhems, we believe that innovation starts with data. As our Scientific Data Integration & Virtualization Lead, you will play a key role in helping our R&D teams turn complex scientific data into valuable insights that support the development of healthier, more sustainable vegetable varieties for customers around the world. You will bridge the gap between scientists, business stakeholders, and technical teams, ensuring data is accessible, reliable, and ready to accelerate research and innovation.
• Enable scientists and analysts to seamlessly access and work with data from genomics, phenotyping, field trials, laboratory systems, and analytics platforms through an integrated and governed data environment.
• Design, develop, and continuous improve our scientific data integration and virtualization platform, ensuring solutions create real value for the business.
• Drive the implementation and optimization of modern data solutions, with Databricks as a key technology within our ecosystem.
• Develop scalable and sustainable data architectures and solutions that support both current and future research needs.
• Collaborate closely with scientists, architects, security specialists, IT and platform partners to translate business requirements into effective technical solutions.
• Establish technical standards and support design reviews to ensure quality, consistency, and best practices across the Scientific Data Integration team.
• Take ownership of technical risks, data quality, traceability, and governance, ensuring a reliable foundation for data-driven decision making.
You will become part of a global and highly collaborative digital and R&D environment where science, technology, and innovation come together. In this role, you will act as a key connector between researchers, business stakeholders, architects, security specialists, platform teams, and digital delivery professionals.
Working across disciplines and locations, you will help shape the future of scientific data integration at BASF | Nunhems. The team values knowledge sharing, pragmatic problem solving, continuous learning, and delivering solutions that make a tangible difference for scientists and business users worldwide.
Your Profile
What knowledge and experience make you successful in this role?
• Master’s degree in Data Science, Computer Science, or a related field.
• At least 5 years of experience in data engineering, ideally within an R&D or scientific environment.
• Proven experience delivering digital and data-driven solutions that support research and innovation.
• Hands-on experience (+- 2 years) with Databricks.
• Strong knowledge of data integration, data pipelines, and cloud-based architectures.
• Experience with Python, preferably including PySpark for large-scale data processing.
• Knowledge of Azure and/or AWS cloud environments.
• Familiarity with source control and CI/CD practices using tools such as Git, Azure DevOps, or GitHub Actions.
• Excellent communication skills and professional proficiency in English.
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