Snowflake Data Engineer — dbt + Azure, Remote

Valtech; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Valtech in Paris, France, is seeking a Data Engineer specialized in Snowflake and dbt to design and maintain scalable data pipelines. You will work across Azure environments, leveraging advanced SQL and Python to deliver reliable, production-grade ELT workflows.

You will collaborate with client teams and architects across an international landscape, applying CI/CD and data engineering best practices. This role supports hybrid work options and growth within a global innovation-focused company.

Qualifications

• Strong dbt experience: model development, testing, documentation, dependency management and deployment practices.
• Snowflake production experience with performance optimisation and troubleshooting.
• Advanced SQL skills and data modelling; Python for ingestion and automation.
• Azure cloud data services knowledge and cross-cloud collaboration.
• Git, CI/CD and software engineering practices for data engineering.
• Ability to work autonomously and communicate with technical and non-technical stakeholders.
• Professional English and experience in international teams.

Responsabilités

• Design, develop and maintain dbt models, tests and documentation with strong data quality practices.
• Apply Git, CI/CD to ensure maintainable, testable data products.
• Collaborate with client teams, architects and analysts in an international environment.
• Build and maintain robust batch and streaming data pipelines in production.
• Optimise Snowflake queries and data models for performance and cost.

Connaissances

dbt

Snowflake

SQL

Python

ELT pipelines

Azure

Git

CI/CD

English

Autonomy

Data modelling

Trustworthy collaboration

Outils

Dagster

Airflow

Terraform

Power BI

Agentic AI

Snowflake Cortex

Kafka

Description du poste

Valtech in Paris, France, is seeking a Data Engineer specialized in Snowflake and dbt to design and maintain scalable data pipelines. You will work across Azure environments, leveraging advanced SQL and Python to deliver reliable, production-grade ELT workflows.

You will collaborate with client teams and architects across an international landscape, applying CI/CD and data engineering best practices. This role supports hybrid work options and growth within a global innovation-focused company.