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Data Engineer H/F Confirmé(e) - Lille

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

Job description

As a Data Engineer at AVISIA, you will design and industrialise data platforms and pipelines for clients, combining technical and strategic data work.

At a glance

Work mode
Remote · France
Languages
English – professional, French

What you'll do

  • Build robust data platforms (Data Lakehouse) or industrialise complex flows for AI, depending on profile
  • Guarantee the fluidity, quality and security of client data flows
  • Migrate legacy on-premise systems to a Cloud Lakehouse architecture (Snowflake/Databricks)
  • Industrialise complex pipelines on GCP (BigQuery, Dataform) with observability and CI/CD
  • Deploy applications, APIs and AI services (ML prediction algorithms, conversational agents)
  • 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 at international scale

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-related field from university or 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
  • Desire to share and learn within an active technical community
  • Bonus: prior experience with streaming flows (Kafka, Pub/Sub)
  • Bonus: generative AI frameworks (Langchain)
  • Bonus: data visualisation tools (Power BI)

How to get hired

  1. 1First exchange with the Talent Acquisition Leader (phone, video or on-site interview)
  2. 2Technical 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 sectors

What they value

  • Sharing and learning within an active technical community
  • Commitment to CSR and sustainable digital practices