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

• Generate value from data 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
• Advice and consult business to use data efficiently
• Develop and operate scalable, agile, quality-first data platforms (DataOps)
• Be part of a team of data professionals in the Data & Analytics department
• 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

YOUR SKILLS

• Master's degree in a computer science or other STEM field; PhD is a plus
• Minimum 5 years of relevant experience in a data engineering environment
• Extensive hands-on experience in cloud data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems
• Excellent coding skills in relevant languages (e.g. SQL, Python, PySpark). Experience in ETL/ELT design, data and interface specifications, quality assurance and testing methods
• Deep knowledge of data pipeline orchestration (e.g. ADF) and distributed computation frameworks (e.g. Azure Synapse, Spark)
• Proven track record of delivering value from data
• Experience in building robust, scalable, high-quality data products in iterations and integrating them into existing and new data-pipelines
• Experience with agile methodologies in a professional development environment (CI/CD)
• Fluent in English; German language skill is a plus

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

JOB ID: 23050651 Contract & Job type: Full Time, Regular Contact information for application-related questions: Recruitment-Germany@henkel.com Please do not use this email address for sending your application or CV. To apply, please click on the "Apply Now" button below. Applications sent via e-mail will not be accepted.