Data Engineer M/F Confirmed - Lille

France | Oct. 22, 2026

Report as Closed

Company: AVISIA

Country: France

Type: Onsite

Employment: Senior executive

Description:

Our missions:

We work with our clients on 100% data missions that combine technical and strategic dimensions, where data is the driving force of the business. style="color:#5a5f72">operational performance. As a Data Engineer, you are the architect who makes the data usable. Depending on your profile, you will work on the construction of robust data platforms (Data Lakehouse) or on the industrialization of complex flows intended for AI.

Our clients (Luxury, Retail, Telecom, Banking, etc.) are facing an explosion in data volumes and sources. Your role will be to guarantee the fluidity, quality and security of these flows.

Some examples of current topics:

• Migration from on-premise legacy to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigration

• Industrialization of complex pipelines on GCP (BigQuery, Dataform) with a strong culture of observability (Dynatrace) and CI/CD. #Orchestration

• Deployment of applications, APIs and AI services (ML prediction algorithms, conversational agents, etc.) #MLOps

• Audit and redesign ingestion pipelines to reduce compute and storage costs on GCP or AWS. #Performance

• Development of Kafka components, exposure via API and guarantee of performance of real-time flows on an international scale. #Streaming

Human:

We are looking for talents:

• Having excellent interpersonal skills to bridge the gap between business needs and constraints IT, code (CI/CD, unit tests) and technical documentation (Confluence/Jira),

• Curious about new trends (DataOps, generative AI applied to code),

• Aware of CSR issues to integrate digital practices sustainable,

• With the desire to transmit and learn within an active technical community,

• Mastering professional English to intervene in international contexts,

• Having four years of experience minimum on data engineering subjects.
  

Technical skills:

You are a graduate of data training at university or high school and :

• Fully master Python and SQL (analytical and procedural) Dagster)Master at least one Cloud solution (GCP, AWS, Azure or Snowflake) and its managed services (BigQuery, Redshift, S3...),

• Master the software life cycle (GitLab/GitHub, CI/CD, Terraform, Docker),

• Bonus: you have already handled streaming streams (Kafka, Pub/Sub), generative AI frameworks (Langchain) or Dataviz (Power BI).

by video or on site.

Informal exchanges with the team can be organized if necessary so that you can at the same time discover your future working environment. work.

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