Du generierst Mehrwert aus Daten und entwickelst sowie pflegst verschiedene Datenlösungen, um hochwertige Datenprodukte schnell bereitzustellen.
Anforderungen
- •Master’s degree in data engineering
- •5+ years experience in data engineering
- •Proficiency in Python and cloud ecosystem
- •Strong base in software engineering principles
- •Skills in data modeling and model lifecycles
- •English communication skills in writing and speaking
Deine Aufgaben
- •Wert aus Daten schaffen
- •Datenassets entwickeln und optimieren
- •Datenlösungen entwerfen und pflegen
- •Produktionsreife Codes schreiben
- •Best Practices für Wartbarkeit anwenden
- •Diverse Aufgaben im Bereich Analytics übernehmen
- •Kollaborativ im agilen Team arbeiten
Original Beschreibung
#### YOUR ROLE
* Are you interested in creating value from data?
* Become part of our team and contribute to the development and optimization of Henkel’s data assets through innovative engineering practices.
* Your role will involve designing, building, and maintaining a variety of data solutions, from analytics reporting pipelines to projects in data science, including GenAI applications.
* Write production-quality code while following best practices for maintainability, testing, and CI/CD pipelines.
* Take on a diverse set of tasks within analytics, applying your expertise to contribute across different projects in the Henkel Consumer Brands.
* Work collaboratively in our agile team setting, aiming for the swift delivery of high-quality data products.
#### YOUR SKILLS
* Master’s degree in data engineering, IT, Science, or a related field.
* 5+ years experience in data engineering, showcasing a history of developing and managing extensive data infrastructures.
* Proficiency in Python and a good understanding of a cloud ecosystem, with a focus on cloud-based data solutions and services like Azure Databricks.
* A strong base in software engineering principles, including familiarity with code reviews, automated testing, and CI/CD practices.
* Demonstrated skills in data modeling, feature engineering, and managing model lifecycles.
* English communication skills, both in writing and speaking, to facilitate productive collaboration in an international team setting.
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We welcome all applications across different genders, origins, cultures, religions, sexual orientations, disabilities, and generations.