This job has expired

Data Engineer - Analytics Industrials (d/f/m)

Düsseldorf, Germany
Closing date
Feb 11, 2022

View more

Physical Sciences, Engineering, Information Technology
Position Type
Full Time
Job Type
Organization Type
Other Corporate
You need to sign in or create an account to save a job.

Job Details

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?
  • Actively shape data and analytics products by transforming business problems into concepts for data products and thus closing the gap between business and the data and analytics unit
  • Contribute to new ideas and solutions that take Henkel's data and analytics services to the next level. Find data and analytics solutions for challenges in the realm of both big and small data
  • Be part of the Data and Analytics Use Case team at Henkel. Advance the team with your expertise and extend and deepen your knowledge by strong collaboration within the team and within cross-functional teams
  • Work in close collaboration with domain, data science and data platform experts using agile methods to deliver high quality data products at a fast pace
  • Be passionate about exploring emerging technologies and leveraging their full potential to drive our data & analytics strategy
  • Establish yourself as a Data and Analytics ambassador across business units and functions

  • 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
  • Ability to structure and reduce complexity. Ability to transition from bird-eye-view to detailed view and back
  • Strong skills in presenting concepts in verbal and written format to both technical and non-technical colleagues
  • Confidence in handling data in cloud ecosystems. Experience in data preparation, data modeling, analysis, and visualization
  • Proven track record in working closely with non-technical teams translating complex business problems into measurable data products
  • 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) as well as 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)
  • 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.



At Henkel, you can make a difference and craft your career. That's why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us.

Find Us
Havenlaan 16
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert