Permanent contract
Toulouse
On site
55-60K
As a Lead Data Engineer Snowflake, you will work as part of a team, mainly on projects.
Designing optimized architectures in a Snowflake context,
Designing and setting up data ingestion (real time, Kafka, Snowpipe),
Data modeling (Star Schema, DataVault, DataMesh, virtualization) – DataOps
Implementing data transformation and value creation (SQL, Python, Java, Scala) – DataOps
Optimizing Snowflake performance and running costs (FinOps)
You hold an engineering degree or a Master's
Solid experience (5+ years) in data engineering, in cloud and data-driven contexts
Good command of ETL/ELT pipelines and modern data architectures (Data Lake, Lakehouse…)
Strong grounding in modeling, query performance and optimization
A taste for agile environments and multidisciplinary teams
Initiative, technical rigor and a willingness to share
Technical English required, fluent English appreciated
You have genuine hands-on experience with Snowflake o
Languages: Python, SQL, Spark
Orchestration: Airflow, dbt, Prefect
ETL: Informatica, Talend, Blueway, etc
Dataviz: Power BI, Tableau
Storage: BigQuery, Snowflake
CI/CD & Monitoring: Git, Docker, Terraform, Datadog / Grafana
Since 2010 we have been helping clients turn their data into performance on three fronts:
Data & AI, Process & Performance, and augmented Customer Experience.
How we work: leading-edge tech, generative AI and above all human expertise, project-based, agile and collaborative.
What we cultivate
Your benefits
Fully flexible remote work and an equipment allowance
A tailored onboarding path
Training and certifications with our vendor partners
Meal vouchers, health insurance, car and bike mileage allowance, holiday bonus
And above all: somewhere you learn, share, innovate (and laugh too).
