Data Engineer R&D ‏(d/f/m)

At Henkel, you can build on a strong legacy and leading positions in both industrial and consumer businesses to reimagine and improve life every day. If you love challenging the status quo, join our community of over 50,000 pioneers around the globe. Our teams at Henkel Consumer Brands continuously drive the evolution in dynamic categories: Laundry & Home Care and Hair. With our trusted brands, including Persil and Schwarzkopf, our cutting-edge technologies and our disruptive solutions, you will have countless opportunities to explore new paths and develop your skills. Grow within our future-led businesses, our diverse and vibrant culture and find a place where you simply belong. All to leave your mark for more sustainable growth.

Dare to make an impact?

YOUR ROLE

• Implement automatized quality monitoring for AI/ML solutions and maintenance of todays and future use cases within the R&Ds digital infrastructure
• Take ownership for the operationalization and maintenance of machine learning models
• Take an active role in the development of new AI/ML solutions ranging from first feasibility studies and MVPs to globally used productive systems
• Drive and take ownership for processes related to the creation, storage, maintenance of data records, preparation and transfer of data
• Work hand-in-hand with software developers, data scientists and data analysts within a team that drives the digital transformation of Henkel Consumer Brands shaping the future of Henkel’s R&D labs

YOUR SKILLS

• Master’s in computer science, mathematics, natural sciences or adjacent technical disciplines
• Hands on experience creating robust data pipelines using state-of-the-art engineering practices in a professional environment
• Profound knowhow in data processing (ETL, feature engineering) and the use of relational databases
• First-hand experience using Azure DevOps, Azure Data Factory, Data Flows, ETL Tools, Databricks, Dockers, Terraform, SQL and Python
• Solid knowledge in the domain of computer science and programming / scripting
• Solid understanding of mathematics and statistics
• Knowledge in the domain of data privacy and data protection

Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to gender, origin, culture, mindset, generation, disability, religion and sexual orientation.