Data Engineer CoE (d/f/m)

At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.

Do you dare to make an impact?

YOUR ROLE

• Generate value from data by developing, extending, integrating, and distributing Henkel's data asset
• Design, develop, and operate scalable and robust data pipelines using state-of-the-art data engineering practices
• Advise and consult business to use data efficiently
• Develop and operate scalable, agile, quality-first data platforms and enable sustainable deployment solutions (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 2 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, C#, Scala). 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)
• Experience in implementing DataOps and MLOps concepts
• Proven track record of delivering value from data. Experience in building robust, scalable, high-quality data products in an iterative way 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: 21022241

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.