Hybrid Data Engineer – Transport Efficiency

Posted last month

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About the role

  • Data Engineer building data foundation for predictive range functions across all TRATON brands. Collaborating with teams to develop scalable data pipelines and achieve energy efficiency goals.

Responsibilities

  • developing scalable data pipelines and data products in Snowflake
  • creating clean, reliable datasets and features used in predictive modelling and embedded functions
  • supporting the integration of data products into AWS-hosted vehicle efficiency functionality
  • ensuring high data quality, governance, and observability across data flows
  • collaborating with engineers working in C++, Python, Simulink and cloud services to align data and functionality
  • contributing to the development of a new, flexible data environment and evolving our data-driven practices

Requirements

  • skilled in Python and experienced with Snowflake or similar data platforms
  • experience with AWS and GitLab-based CI/CD workflows
  • can work effectively with teams developing embedded functionality in C++
  • bring a structured approach to data quality and reliable data delivery
  • are curious, collaborative, and motivated to strengthen our data-driven development

Benefits

  • wellness allowance
  • bonus
  • flexible hours
  • company car leasing

Job title

Data Engineer – Transport Efficiency

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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