Data Engineer - Snowflake

Valtech; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Remote and hybrid work options

International mobility and development

Learning and development programs

Résumé du poste

Valtech in Paris is seeking an experienced Data Engineer specialized in Snowflake and dbt to design, build, and optimize data pipelines in Azure environments. You will work autonomously across data modelling, orchestration, monitoring, and troubleshooting, contributing to scalable, production-grade ELT processes in an international setting.

This is a permanent hybrid role with remote options country-dependent, offering growth opportunities and global collaboration.

Qualifications

• Strong dbt experience: model development, testing, documentation, deployment practices.
• Snowflake production experience: performance optimisation and troubleshooting.
• Advanced SQL skills and understanding of data modelling and layered data architectures.
• Python for data ingestion, transformation, automation and API integration.
• Experience building, maintaining, monitoring and troubleshooting production ELT/data pipelines.
• Azure cloud data services; ability to work across cloud platforms.
• Git, CI/CD and software engineering practices applied to data engineering.
• Ability to work autonomously and communicate clearly with stakeholders.
• Professional English and collaboration in international teams.

Responsabilités

• Design, develop, and maintain dbt models, tests, and documentation.
• Apply Git, CI/CD to ensure maintainable and reliable data products.
• Collaborate with client teams, architects, analysts and external partners in an international environment.
• Demonstrate deep knowledge of data engineering to build and support robust pipelines in production.
• Develop and maintain documentation for all systems and projects.
• Optimize Snowflake queries and data models for performance, scalability and cost.

Connaissances

dbt

Snowflake

SQL

Python

Azure

Git CI/CD

Data modelling

ELT pipelines

English

Outils

Dagster

Airflow

Kafka

Power BI

AWS

Description du poste

Why Valtech? We’re advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We’re looking ahead We are global

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

For the Data Engineer- Snowflake (all genders) role, it's important to have a strong hands-on background in modern data engineering, specifically within Snowflake and dbt, with experience working in Azure environments. The ideal candidate should be proficient in advanced SQL and Python, comfortable building and maintaining production-grade ELT/data pipelines, and able to work autonomously across data modelling, orchestration, monitoring and troubleshooting. Experience with Agentic AI is a plus but is not a core requirement for this role.

• Design, develop and maintain dbt models, tests and documentation, applying strong data quality and modelling practices.
• Apply Git, CI/CD and engineering best practices to ensure maintainable, testable and reliable data products.
• Collaborate effectively with client teams, architects, analysts and external partners in an international environment.

Role responsibilities

• Demonstrate deep knowledge of the data engineering domain to build, maintain and support robust batch and scheduled data pipelines in production environments.
• Build reliable, fault-tolerant and observable data pipelines with appropriate monitoring, testing and recovery mechanisms.
• Take ownership of complex data engineering workstreams and drive implementation from technical design through production support.
• Develop and maintain documentation relating to all assigned systems and projects.
• Optimise Snowflake queries and data models for performance, scalability and cost across large datasets.
• Perform root cause analysis to identify permanent resolutions to software or business process issues.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Strong dbt experience: model development, testing, documentation, dependency management and deployment practices.
• Strong hands-on Snowflake experience in production environments, including performance optimisation and troubleshooting.
• Advanced SQL skills and strong understanding of data modelling and layered data architectures.
• Python experience for data ingestion, transformation, automation and API integration.
• Experience building, maintaining, monitoring and troubleshooting production ELT/data pipelines.
• Experience with Azure and cloud data services; ability to work comfortably across cloud-based data platforms.
• Good understanding of Git, CI/CD and software engineering practices applied to data engineering.
• Ability to work autonomously, investigate production issues and communicate clearly with technical and non-technical stakeholders.
• Professional English and experience working in collaborative, international teams.

Nice to have qualifications

• Experience with orchestration tools such as Dagster, Airflow or equivalent.
• Experience with Agentic AI, Snowflake Cortex or AI-enabled data products.
• Familiarity with AWS data services such as S3, RDS, Secrets Manager and CloudWatch.
• Exposure to Kafka or other streaming/event-driven data patterns.
• Experience with BI/reporting environments such as Power BI or similar tools.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

Commitment to reaching all kinds of people

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.

The benefits

This is a Permanent position based in Paris, France. Beyond a competitive compensation package, we offer:

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training and industry experts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.