Data Engineer - Snowflake

Description

The company is an experience innovation company and a trusted partner to major brands. It works across data, AI, creative and technology.

The team values sharing, caring and daring, and it works across borders with a global setup that supports collaboration.

You would work on new digital solutions and customer experiences, with room to keep learning and grow professionally.

The culture encourages creativity, diversity and autonomy.

Responsibilities

• Design, build and maintain dbt models, tests and documentation, with a strong focus on data quality and sound modelling.
• Use Git, CI/CD and solid engineering practice so data products stay maintainable, testable and reliable.
• Work with client teams, architects, analysts and external partners in an international setting.
• Build and support batch and scheduled data pipelines in production, drawing on deep data engineering knowledge.
• Make pipelines reliable, fault-tolerant and observable, with suitable monitoring, testing and recovery.
• Own complex data engineering workstreams, from technical design through to production support.
• Write and update documentation for every system and project you are assigned.
• Tune Snowflake queries and data models for speed, scale and cost on large datasets.
• Run root cause analysis to find permanent fixes for software and business process issues.
• This role calls for hands-on experience in modern data engineering, mainly in Snowflake and dbt, with Azure environments. Experience with Agentic AI is a plus but not a core requirement.

Requirements

• Strong dbt experience covering model development, testing, documentation, dependency management and deployment.
• Solid hands-on Snowflake experience in production, including performance tuning and troubleshooting.
• Advanced SQL and a strong grasp of data modelling and layered architectures.
• Python skills for ingestion, transformation, automation and API integration.
• Experience building, monitoring and troubleshooting production ELT and data pipelines.
• Experience with Azure and cloud data services, and comfort working across cloud data platforms.
• Good understanding of Git, CI/CD and software engineering practice applied to data.
• Ability to work autonomously, investigate production issues and communicate clearly with technical and non-technical people.
• Professional English and experience in collaborative, international teams.
• Experience with orchestration tools such as Dagster, Airflow or equivalent.
• Exposure to infrastructure as code, including Terraform.
• 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 and event-driven data patterns.
• Experience with BI and reporting tools such as Power BI or similar.
• If you lack some of these qualifications or have gaps in your experience, you are still encouraged to apply. The company values varied backgrounds and a willingness to learn.

Conditions

This is a permanent position based in Paris, France.

Remote and hybrid working are available, depending on your country.

Applications are reviewed on skills, experience and potential, and the company does not ask for age, gender, marital status or a photo.

The role is open to all genders, and the company supports reasonable accommodations during interviews on request, via your application or your Talent Partner.

Benefits

• A competitive compensation package.
• Career advancement, including international mobility and professional development programmes.
• Learning and development, with access to modern tools, training and industry experts.
• Benefits vary by location, and your Talent Partner will share the full details during hiring.