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Data Science Engineer (d/f/m)

Employer
Henkel
Location
Düsseldorf, Germany
Salary
Competitive
Closing date
Jul 1, 2021

View more

Discipline
Physical Sciences, Engineering, Information Technology
Position Type
Full Time
Job Type
Other
Organization Type
All Industry, Other Corporate

Job Details

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 5 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

Company

WE ARE PIONEERS AT HEART FOR THE GOOD OF GENERATIONS

Our purpose "Pioneers at heart for the good of generations" unites what we stand for, how we work, and forms the basis for our strategy.

The pioneering spirit of our company founder, Fritz Henkel, is what continues to differentiate us and unites Henkel employees worldwide. The ambition and motivation to work together on the solutions of tomorrow. Today. Every day. We do this not only for ourselves, but also for future generations, because we share a common responsibility.

Building on a strong legacy of more than 145 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings. 

Worldwide locations and an international culture shape our global footprint.

Henkel products and technologies are available worldwide. With employees from 124 nations and locations around the world, we achieve a strong presence both in mature and emerging markets. 

 

 

Company info
Telephone
004212834647
Location
Havenlaan 16
Brussels
1018
Belgium

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