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8 дней назад

Data Engineer - Snowflake (all genders)

Формат работы
remote (только France)/hybrid
Тип работы
fulltime
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer - Snowflake (all genders) (Snowflake/dbt): Building and supporting production-grade ELT data pipelines and data products in Azure with an accent on data modelling, testing, observability, and Snowflake performance optimization. Focus on designing fault-tolerant pipelines, resolving complex production issues, and delivering maintainable data engineering solutions with international client teams.

Location: Paris, France. Permanent position with remote and hybrid work options, depending on the country.

Company

hirify.global is an experience innovation company delivering digital, data, AI, creative, and technology solutions for leading global brands.

What you will do

  • Design, develop, test, document, and maintain dbt models and production ELT data pipelines.
  • Build reliable, fault-tolerant, observable batch and scheduled pipelines with monitoring, testing, and recovery mechanisms.
  • Optimize Snowflake queries and data models for performance, scalability, and cost across large datasets.
  • Own complex data engineering workstreams from technical design through production support.
  • Perform root cause analysis and implement permanent resolutions for software and business process issues.
  • Collaborate with client teams, architects, analysts, and external partners in an international environment.

Requirements

  • Strong hands-on experience with Snowflake and dbt in production environments.
  • Advanced SQL skills and a strong understanding of data modelling and layered data architectures.
  • Python experience for data ingestion, transformation, automation, and API integration.
  • Experience building, monitoring, troubleshooting, and maintaining production ELT/data pipelines.
  • Experience with Azure and cloud data services, plus Git, CI/CD, and software engineering practices.
  • Professional English and the ability to work autonomously and communicate with technical and non-technical stakeholders.

Nice to have

  • Experience with Dagster, Airflow, or equivalent orchestration tools.
  • Infrastructure-as-code experience with Terraform.
  • Experience with Agentic AI, Snowflake Cortex, or AI-enabled data products.
  • Familiarity with AWS data services, Kafka, streaming patterns, or BI tools such as Power BI.

Culture & Benefits

  • Flexible remote and hybrid work options, depending on the country.
  • Career advancement, international mobility, and professional development programs.
  • Access to training, modern tools, and industry experts.
  • Inclusive culture focused on creativity, diversity, autonomy, and continuous learning.

Hiring process

  • Talent Acquisition reviews applications and relevant experience.
  • Applications are assessed based on skills, experience, and potential.
  • Reasonable accommodations are available during the interview process.

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