Data Engineer / Data Scientist (d / f / m)

  • Henkel AG
  • Düsseldorf, Germany
  • 04/12/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

Data Engineer / Data Scientist (d / f / m)


At Henkel, you can make a difference and craft your career. That's why you start your own 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.


  • Data Engineer uses programming and analytical skills to collect and transform large data sets during development of data-driven solutions to difficult business challenges
  • Solving big data challenges using extensive experience, applying algorithms and programming languages
  • Establish robust and performant pipelines using Python and Apache Spark within the Azure environment using Azure Databricks
  • Implementing quality checks on incoming data and performing quality assurance tests on the datasets and code
  • Working with Data Scientists and Business Analysts
  • Understanding business requirements in terms of data transformation in a qualitatively diverse data environment
  • Consulting business on best practices and technical effort required, in relation to product development and project achievements


    • Master's Degree in Computer Science, Software Engineering, Math, Statistics or Economics
    • Experience with building interfaces to systems in order to extract data (SAP, Oracle, SQL, web APIs from Google, Facebook, etc.)
    • Range of technical competencies including programming languages, DBs, BI, analytical tools, and ML technologies
    • Fluent in structured and unstructured data, its management and modern data transformation methodologies with focus on Cloud architecture (Python, Apache Spark)
    • Experience with Agile / SCRUM and CI / CD tools (like JIRA or Azure DevOps)
    • Understanding of business terminology, from areas like finance, supply chain, or sales & marketing in SAP backed multinational FMCG or industrial corporation
    • Strong analytical and problem-solving skills
    • Beneficial: Azure data stack (Azure Data Lake, Databricks, Data Factory, etc.), Scala, JavaScript, Dremio, PowerBI
    • Fluent English language skills
    • Drive to learn and master new technologies and techniques

JOB ID: 190007TFContract & Job type: Full Time, RegularContact details: