Data Engineer (Automotive)

Remote Data Engineer Data Science Engineering

Required skills

Python / good
AWS / good
Databases / good
Spark / basic
English / good

Would you like to take part in innovative services implementation that make day-to-day business easier? Then join our team.

We invite a self-driven Back-end Engineer skilled in Python to join us as a Data Engineer.

This is a great opportunity for an Engineer who is willing to investigate, find, and offer interesting solutions for delivering new efficiencies that the client truly benefits from.

Do you feel ready to open new horizons for your professional development? We are waiting for you on our team.


Our customer is a company with solid experience in setting standards in the automotive aftermarket worldwide as a digital innovator and a provider of leading expert solutions.

The client is distinguished by in-depth knowledge of the industry and requirement for the highest levels of quality and security based on sustainable technologies.


You will work with the Data Platform, which includes Data Lakehouse solution designed to become a unified storage and Data Warehouse for structured and unstructured data generated by the various solutions. The solution includes processing pipelines aimed at collecting data and providing it to the end customers via the unified interfaces.

As a Data Engineer, you will design and develop a robust and scalable Data Platform. This includes data processing, data versioning and distribution, orchestration of data, merge & conflict handling processes, as well as providing Data Dashboards and analytical reports for end-users.

You are going to be a part of the distributed team that uses agile methodologies best practices, Continuous Integration, develops ETL pipelines, takes care of performance testing, capacity planning.

Are you in?


  • 3+ years of professional software development experience with Python
  • 2+ years of experience with relational and/or noSQL databases
  • 1+ years of experience with processing framework(s), such as Apache Spark
  • 1+ years of experience with at least one of mainstream cloud providers (Amazon, GCP, Azure)
  • Knowledge of serverless concept capabilities and features
  • At least Intermediate level of spoken and written English


Nice to have:

  • Experience with Apache Hudi, Serverless Framework, AWS services (Glue, Lambda, Step Functions, S3, SNS/SQS, CloudFormation)
  • Experience with designing databases and/or Data Warehouses

Personal Profile

  • Result-oriented standpoint
  • Ability to perform in a self-manageable manner within set time-boxing


  • Building up an infrastructure for data platform with the level of customization and scalability that allows applying quick changes
  • Designing and developing data pipelines
  • Creating and customizing ETL scripts with AWS technologies and frameworks
  • Performance testing and optimization of the solutions
  • Living by agile principles and collaborating with team members using agile techniques


  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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