MLOps Data Engineer f/m/d

Job description

Job description:

  • Define analytics including the set up of analytics environment and support in defining data governance, including data lifecycle management
  • ETL process implementation (telemetry based and stationary test data)
  • Development of large scale data processing engines, real-time search and analytics based on time series data
  • Working together with data scientist on development of complex on-premise, hybrid and cloud solution architectures
  • Design, construct and maintain large-scale (time-series) data processing systems (aggregation, transformation, cleansing, enrichment)
  • Scale out of design algorithms via implementation in cloud-native applications 
  • Ensure know-how development and transfer as well as continuous improvement in the field of data engineering

Profile description:

  • Engineering degree (BSc, MSc, MEng or PhD) in computer science, computer science/telematics, mathematics/statistics or equivalent technical degree.
  • At least 3 years of professional experience and knowledge in the following areas: 
    • Python (mainly in the PyData stack (Pandas/Numpy and related packages).
    • High level programming languages (C#/C++/Java)
    • Scalable processing environments like Python Dask (or PySpark)
    • Linux and scripting languages (Bash Scripts)
    • Database technologies (SQL/OLAP and non-SQL)
    • Containerization and orchestration of containerized services (Kubernetes).
  • Proven experience in the use of Cloud technologies (Azure, AWS, GCP) for industrial applications and in the setup of CI/CD data pipelines (including deployment and monitoring of ML-based models) in cloud environments
  • A working knowledge of vehicle architectures, communication and components
  • Fluent speaking and excellent writing skills in English
  • Willingness and ability to interface constructively with a global team
  • Readiness for business trips in course of development projects

We offer:

  • Homeoffice
  • Flexitime Regulation
  • Canteen
  • Award-winning Training Programs
  • Health Management
  • Parental Leave Management (Maternity/Paternity Protection & Educational Leave)


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