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Full Stack Data Engineer

Job summary
Permanent contract
Salary: Not specified
Occasional remote
Skills & expertise
DevOps principles
Problem-solving skills


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The position

Job description

Job Description

We are seeking a talented and experienced Full Stack Data Engineer to join our dynamic tech team based in Paris. As a Full Stack Data Engineer, you will play a crucial role in enhancing our data platform and driving innovation through data engineering solutions.

The primary focus of this position is data engineering, encompassing tasks such as building, optimizing, and maintaining our data platform. You will be responsible for making continuous improvements to our data infrastructure to ensure its reliability, scalability, and performance. As an integral part of the data team, you will collaborate closely with team members to address various data-related challenges and opportunities. This may involve tasks ranging from designing and implementing data pipelines to conducting in-depth data analysis to extract actionable insights.

The role will focus on:

  • Build and maintain bsport’s data architecture

  • Ensure the sustainability and scalability of the diverse components by leveraging bsport’s cloud provider services and adhering to all DevOps best practices

Preferred experience

Preferred Profile

  • Already built or maintained a data architecture at scale in a top cloud provider (AWS, GCP or Snowflake)

  • Already deployed data science models in production or built a data ingestion pipeline

  • Familiar with DevOps best practices

  • Proficiency in SQL, Python and Spark

  • Experience with dbt and airbyte


  • Bachelor’s degree in Data Science, Computer Science, Engineering, or related field; advanced degree preferred.

  • Relevant experience in data engineering or related roles is a plus

  • Strong analytical and problem-solving skills, with the ability to work independently and in a team environment.

  • Strong proficiency in English

Recruitment process

Interview Process

  • First interview with one of our Talent Acquisition team members (30 min)

  • Technical Interview with our Lead Data (1h30)

  • Technical Interview with our CPO (1h)

  • Final Interview with our CTO (1h)

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