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Data Engineer H/F - Paris

AVISIA
Contract type
Ongoing
Work mode
Remote · France
Experience
Mid-level · 4+ years

Job description

As a Data Engineer at AVISIA, you build robust data platforms and industrialise complex data pipelines for clients in luxury, retail, telecom and banking.

At a glance

Work mode
Remote · France
Languages
English – professional, French

What you'll do

  • Build robust data platforms (Data Lakehouse) or industrialise complex pipelines for AI
  • Guarantee the fluidity, quality and security of data flows
  • Migrate legacy on-premise systems to a Cloud Lakehouse architecture (Snowflake/Databricks)
  • Industrialise complex pipelines on GCP with observability and CI/CD
  • Deploy applications, APIs and AI services such as ML prediction algorithms and chatbots
  • Audit and redesign ingestion pipelines to reduce compute and storage costs on GCP or AWS
  • Develop Kafka components, expose them via API and ensure real-time flow performance internationally

What we're looking for

  • Excellent interpersonal skills to bridge business needs and IT constraints
  • Willingness to build scalable and robust infrastructures
  • Rigorous analytical mindset
  • Strong emphasis on code quality (CI/CD, unit tests) and technical documentation (Confluence/Jira)
  • Professional English for international contexts
  • At least four years of experience in data engineering
  • Degree in a data field from university or a grande école
  • Perfect command of Python and SQL (analytical and procedural)
  • Solid experience with a workflow orchestrator (Airflow, Prefect or Dagster)
  • Knowledge of modern transformation tools such as dbt
  • Mastery of at least one Cloud solution (GCP, AWS, Azure or Snowflake) and its managed services
  • Mastery of the software lifecycle (GitLab/GitHub, CI/CD, Terraform, Docker)

Nice to have

  • Curious about new trends (DataOps, generative AI applied to code)
  • Sensitive to CSR issues to integrate sustainable digital practices
  • Eager to share and learn within an active technical community
  • Bonus: prior experience with streaming flows (Kafka, Pub/Sub)
  • Bonus: prior experience with generative AI frameworks (Langchain)
  • Bonus: prior experience with Dataviz tools (Power BI)

How to get hired

  1. 1First exchange with the Talent Acquisition Leader, then a first interview by phone, video or on site
  2. 2A technical test (MCQ and practical cases) sent by email
  3. 3Meeting with a senior consultant (manager or practice leader), ideally on site
  4. 4Informal exchanges with the team may be organised

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About AVISIA

Mission

Deliver 100% data assignments combining technical and strategic dimensions, where data drives operational performance.

Key facts

  • Clients include luxury, retail, telecom and banking
  • Active technical community

What they value

  • Data drives operational performance
  • Sustainable digital practices (CSR)