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

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(Senior) Data Engineer (d/f/m) - Full-time, part-time or job-sharing possible - Urgently Hiring!, Düsseldorf

Client:

Henkel

Location:

Düsseldorf, Germany

Job Category:

Data Engineering / Data Science

EU work permit required:

Yes

Job Reference:

3d93629030a5

Job Views:

2

Posted:

27.04.2025

Expiry Date:

11.06.2025

Job Description:

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 47,000 pioneers around the globe. Our corporate functions enable the best in our dynamic businesses and in our people to maximize our potential. With leading brands, cutting-edge technologies, and 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 belong. Leave your mark for sustainable growth.

Dare to make an impact?

YOUR ROLE

1. Interested in creating value from data?
2. Contribute to the development and optimization of Henkel’s data assets through innovative engineering practices.
3. Design, build, and maintain data solutions, from analytics reporting pipelines to data science projects, including GenAI applications.
4. Apply your expertise across various projects within analytics, especially in Henkel Consumer Brands.
5. Work collaboratively in an agile team to deliver high-quality data products swiftly.

YOUR SKILLS

1. Master’s degree in data engineering or a related field.
2. Experience in data engineering or data science, with a history of managing extensive data infrastructures.
3. Proficiency in Python and understanding of cloud ecosystems, focusing on cloud-based data solutions.
4. Strong knowledge of software engineering principles, including code reviews, automated testing, and CI/CD practices.
5. Skills in data modeling, feature engineering, and managing model lifecycles.
6. Excellent English communication skills, both written and spoken, for effective collaboration in an international team.

At Henkel, we value diversity and inclusivity. We encourage applicants from all backgrounds, perspectives, and life experiences to join us and bring their uniqueness to our team.