(Senior) Data Engineer (d/f/m) - Full-time, part-time or job-sharing possible - copy

What you'll do

• Are you interested in creating value from data?
• Become part of our team and contribute to the development and optimization of Henkel’s data assets through innovative engineering practices
• Your role will involve designing, building, and maintaining a variety of data solutions, from analytics reporting pipelines to projects in data science, including GenAI applications
• Take on a diverse set of tasks within analytics, applying your expertise to contribute across different projects in the Henkel Consumer Brands
• Work collaboratively in our agile team setting, aiming for the swift delivery of high-quality data products

What makes you a good fit

• Master’s degree in data engineering or a related field
• Experience in data engineering or data science, showcasing a history of developing and managing extensive data infrastructures
• Proficiency in Python and a good understanding of a cloud ecosystem, with a focus on cloud-based data solutions and services
• A strong base in software engineering principles, including familiarity with code reviews, automated testing, and CI/CD practices
• Demonstrated skills in data modeling, feature engineering, and managing model lifecycles
• English communication skills, both in writing and speaking, to facilitate productive collaboration in an international team setting

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.

JOB ID: req71763

Job Locations: Germany, North Rhine Westphalia, Düsseldorf

Contact information for application-related questions: [email protected]

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