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HR Talent House Linkedin · Posted 16d ago

Senior Data Engineer

France

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Indexed description

Key Responsibilities

  • Design, develop, and maintain robust data pipelines (ETL/ELT).
  • Build and optimize data ingestion, transformation, and delivery processes for Business Intelligence, Analytics, and Data Science teams.
  • Ensure data quality, reliability, scalability, and performance across the data platform.
  • Contribute to data architecture decisions and continuous platform improvements.
  • Collaborate closely with technical and business stakeholders in an Agile environment.

Required Qualifications

  • 5–6 years of experience in Data Engineering.
  • Strong proficiency in SQL and Python.
  • Hands-on experience with data processing and orchestration tools such as Spark, Airflow, dbt, or similar technologies.
  • Experience working with at least one cloud platform (AWS, Azure, or GCP).
  • Solid understanding of Data Warehousing, Data Lakes, and data modeling concepts.
  • Familiarity with Git and software development best practices.

Nice to Have

  • Experience with Kafka or other streaming technologies.
  • Knowledge of Databricks, Snowflake, or BigQuery.
  • Exposure to CI/CD practices and Infrastructure as Code (IaC).

Soft Skills

  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Proactive mindset with the ability to drive technical improvements and architectural discussions.
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