Hybrid Data Engineer – Large Scale Data

Posted last month

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About the role

  • Data Engineer for client project in automotive sector transforming connected vehicle data into actionable insights. Collaborating with teams to enhance product decisions and quality improvements.

Responsibilities

  • Collaborate with development, verification, and analysis teams to interpret connected vehicle data.
  • Analyse, correlate, and structure fleet data to support product quality, performance, and functionality improvements.
  • Translate complex vehicle data into clear insights for engineers and stakeholders.
  • Contribute to data structures, data pipelines, and tools enabling efficient processing and visualization.
  • Ensure solutions support traceability and contribute to meaningful product outcomes.

Requirements

  • Strong background in data engineering (data processing, transformation, large-scale datasets).
  • Proficiency in C++ and Python.
  • Experience building and maintaining data pipelines.
  • Experience with data visualization tools such as Grafana, Power BI, or Tableau.
  • Solid understanding of data modelling and data quality.
  • Experience working with connected vehicle data or similar large telemetry datasets.

Benefits

  • Flexibility
  • Development
  • Perfect match

Job title

Data Engineer – Large Scale Data

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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