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VISEO

Global IT consulting for digital transformation

Data Engineer Confirmé - Cloud Snowflake

Data EngineeringConfirmed live in the last 24 hours
Full-timeToulouse, FranceNo salary listedIn-person

About the Job

Requirements

  • Significant experience in data engineering.
  • Recognized expertise in Snowflake.
  • Mastery of the Snowflake ecosystem, including Warehouses, Streams, Tasks, Snowpipe, Data Sharing, and integration with major cloud services such as Azure and GCP.
  • Comfort with data processing and orchestration technologies, including Airflow, dbt, Spark, and Python.

Responsibilities

  • Design, build, and orchestrate scalable, performant, and secure data pipelines in a Snowflake environment.
  • Industrialize data flows using DataOps best practices, including continuous integration and delivery, monitoring, and automation.
  • Optimize Snowflake environment performance and costs.
  • Advise clients on implementing Snowflake-based modern data platforms, including architecture studies, scoping, best practices, and FinOps.
  • Design hybrid cloud data architectures that use Snowflake capabilities and multi-cloud integration.
  • Lead migrations to Snowflake or modernization of existing platforms.
  • Ensure the quality, security, and governance of data environments, including performance optimization, role management, and access controls.
  • Train and support client teams in using Snowflake tools and practices.
  • Monitor Snowflake innovations and data-cloud market trends.
  • Share expertise and collaborate with engineers and architects.

About the Company

VISEO

Global IT consulting for digital transformation

VISEO helps organizations with digital transformation by designing and implementing new experiences, business models, and ways of working. It delivers services across the digital value chain—digital consulting, data science, process automation, and development of digital applications—often through project-based engagements. It partners with SAP, Salesforce, Microsoft, and Anaplan to implement scalable solutions and focuses on data and AI to unlock insights and automate operations. Its goal is to turn technology into practical business improvements, helping clients in luxury goods, retail, industry, and life sciences navigate the digital era and achieve measurable value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boulogne-Billancourt, France
Founded
1999

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