(Senior) Data Engineer (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 50,000 pioneers around the globe. The teams in our corporate functions enable the best in our dynamic businesses and in our people to maximize our company’s potential. With our leading brands, 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

• Are you interested in creating value from data?
• Join our team and make an impact by increasing, integrating, enriching and distributing Henkel’s data-asset
• Design, develop, and operate scalable and robust data pipelines using state-of-the-art data engineering practices
• Advance the team with your expertise and extend and deepen your knowledge by strong collaboration within the team
• Actively participate in cross-functional teams using agile methods to deliver high quality data products at a fast pace
• Establish yourself as a reliable, creative, and positive partner across business to enable and identify data potential
• You can shape your career with various trainings, rotation and development programs while enjoying several employee benefits, we have at Henkel
  
  

YOUR SKILLS

• Master’s degree in a computer science or a relatable field
• 5 years of relevant work experience in the areas of software engineering or machine learning engineering
• Experience in machine learning system design and cloud data ecosystems (Microsoft Azure)
• Excellent coding skills in relevant languages (e.g. Python) and SQL paired with professional software development practices like code review, automated testing, CI/CD automation
• Hands-on experience in data modeling, feature engineering and managing model lifecycle (MLFlow)
• Deep knowledge of distributed computing frameworks (e.g. Azure Synapse, Apache Spark)
• English language skills - excellent written and verbal communication
  
  

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations.