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Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Data Engineer AI Solutions (m/f/d)

Referenzcode: DE-C-HZA-21-06538
Standort(e): Nürnberg
Aufgaben
  • Design, govern, build and operate solutions in an agile product environment with relevant future topics and cloud-based technologies for large-scale data architectures, and applications across businesses and functions
  • Select, manage, work hands-on with innovative and modern Big Data tools and frameworks, and implement ETL tools and processes as well as data virtualization and federation services
  • Engineer data integration pipelines and reusable data services using cross-functional data models, semantic technologies, and data integration solutions
  • Define, implement and apply data governance policies for all data flows of data architectures with focus on the Digital Platform and Data Lake
  • Define and implement policies for data ingestion, retention, lineage and access in collaboration with Corp. Data Management and other IT functions

Profil
  • University degree in (Applied) Computer Science/Software Engineering, or comparable relevant practical and/or theoretic qualifications
  • Experience with integration of data from multiple data sources and IT systems
  • Relevant knowledge in working with Cloud environments and services, preferably with Microsoft Azure
  • Strong programming skills in Java and/or Python as well as enthusiasm for working in an agile environment
  • Practice in data modeling (ER, UML) and proficiency in SQL, experience with relational and NoSQL databases is highly beneficial
  • Knowledge of ETL techniques and frameworks, such as ADF
  • ERP/SAP experience is a plus
  • Fluent in English spoken and written, German is also beneficial
  • Strong analytical skills and ability to focus

Wir bieten As a member of a purely agile product team you will bring in your data engineering expertise in a rapidly expanding field of work being "far ahead" in relevant future topics.