Digital Data Engineer

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. 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

• In this role, you’ll be at the heart of a dynamic, fast-paced analytics team that creates data insights for stakeholders across the Henkel Supply Chain, enabling smarter and faster decision-making
  As a key contributor, you'll be responsible for managing CI/CD pipelines, ensuring that the development lifecycle flows smoothly, from code to deployment. You’ll work closely with your product team to continuously improve and streamline these pipelines, ensuring they are robust, efficient, and optimized for performance
• Your day-to-day tasks will revolve around Git version control, where you'll handle everything from versioning and branch management to ensuring code quality. Collaboration will be key as you and your teammates manage multiple branches, review each other’s work, and ensure the integrity of the codebase
• As a data engineer, you’ll spend significant time building scalable solutions that handle large volumes of data efficiently. This includes optimizing the way data is stored and retrieved, ensuring smooth performance. You’ll also be involved in complex data transformations, manipulating data to provide meaningful insights for business stakeholders across the Henkel Supply Chain
• In addition to development work, you'll engage in debugging and solving technical issues reported by users. Whether addressing code bugs or data discrepancies, you will play a critical role in diagnosing and resolving problems quickly, ensuring minimal disruption to business operations
• You'll work in an Agile environment using Scrum methodologies. Your contributions to sprints, stand-ups, and retrospectives will help drive continuous improvement across the board
• This role offers a balance of deep technical work, collaboration, and the chance to make a real impact by solving complex problems in data processing, software development, and troubleshooting technical issues that arise during production or reported by users

YOUR SKILLS

• Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.
• Fluent English speaker
• 3+ years of experience in data engineering / data analysis with a focus on data engineering and Python.
• Demonstrated ability to work collaboratively in a fast-paced, Agile environment.
• Strong communication skills and the ability to work effectively in a team.

BENEFITS WE OFFER

• 13th salary 
• Performance-based bonus up to 134%
• Financial bonus for referring a suitable candidate from 500 to 1000 EUR gross
• Meal contribution also during days off
• Cafeteria benefit system
• Henkel Shop
• Henkel Kindergarten
• Life Insurance
• Health care package
• Relocation bonus
• 5 Sick days per year
• Home Office possibility
• Extra paid days off for special life events

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.

Minimum salary: 1900 EUR gross (Of course, an overpayment is possible depending on the respective training, qualification and professional experience. The gross salary is based on these aforementioned criteria and is finally determined after the personal interview.)