Data Engineer (d/f/m)

Employer
Henkel
Location
Düsseldorf, Germany
Salary
Competitive
Posted
August 14 2021
Ref
21014512
Position Type
Full Time
Organization Type
Other Corporate
Job Type
Other
HENKEL IS FOR THOSE WHO STEP UP. DO YOU?

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.
YOUR ROLE
  • Generate value from data by increasing, integrating, enriching, and distributing Henkel's data-asset
  • Design, develop, and operate scalable and robust data pipelines using state-of-the-art data engineering practices
  • Advice and consult business to use data efficiently
  • Develop and operate scalable, agile, quality-first data platforms (DataOps) and enable sustainable data science deployment solutions (MLOps)
  • 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 iterations 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

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