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

Employer
Henkel
Location
Düsseldorf, Germany
Salary
Competitive
Closing date
Feb 11, 2022

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Sector
Science, Computer Science and IT, Information Science and Technology
Contract Type
Employee
Hours
Full Time
Organization Type
Corporate
Jobseeker Type
Professional

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?

YOUR ROLE
  • 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

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
  • 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.

JOB ID: 21025203

Contract & Job type: Full Time, Regular

Contact information for application-related questions: Recruitment-Germany@henkel.com Please do not use this email address for sending your application or CV. To apply, please click on the "Apply Now" button below. Applications sent via e-mail will not be accepted.

Company

About Henkel

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.

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