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6 дней назад

Senior Data Platform Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Platform Engineer (AI): Building tools, standards, and foundations that enable engineering teams to own and operate their data pipelines with an accent on AI tooling, batch processing, and event-driven architecture. Focus on designing developer platforms, integrating Airflow, dbt, and Kafka, and helping teams adopt shared data engineering practices.

Location: Montpellier, France; hybrid workplace

Company

A product company providing solutions across fintech, travel, HR, and employee benefits to more than 5.5 million users in France and Brazil.

What you will do

  • Design and improve tools and platforms for engineering teams to build and operate their own data pipelines.
  • Ship AI tooling, including Skills and MCP, as part of the data platform.
  • Contribute to batch processing with Airflow and dbt and event-driven architecture with Kafka.
  • Define, document, and promote engineering standards and best practices.
  • Support teams in adopting platform tools and practices and help grow their technical skills.
  • Promote the platform vision and build collaboration across teams in France and Brazil.

Requirements

  • Solid experience in data engineering or platform engineering with strong software engineering practices.
  • Strong expertise in at least one area such as data, infrastructure, software, streaming, or developer tooling, with willingness to learn across disciplines.
  • Experience with several of Python, Ruby, Airflow, Kafka, Snowflake, dbt, and Terraform.
  • Autonomous working style, clear communication, and enjoyment of collaboration and team enablement.
  • Good English required for daily collaboration with teams in Brazil.
  • Commitment to environmental responsibility, diversity, fairness, and inclusion.

Nice to have

  • Background in platform engineering, infrastructure, software engineering, or an entrepreneurial environment.
  • Curiosity about new tools and practices, including AI; prior AI expertise is not required.

Culture & Benefits

  • Permanent position in a dynamic engineering environment.
  • Broad scope with direct impact on how engineering teams work.
  • Competitive salary and benefits package.
  • Professional development and career growth opportunities.

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