2 months ago
Paris, FranceSenior
Responsibilities
- Design, develop, test, document, deploy, and maintain dbt models and production data products.
- Build, maintain, monitor, troubleshoot, and support robust batch and scheduled ELT/data pipelines.
- Develop reliable, fault-tolerant, observable pipelines with monitoring, testing, and recovery mechanisms.
- Own complex data engineering workstreams from technical design through production support.
- Optimize Snowflake queries and data models for performance, scalability, and cost across large datasets.
- Perform root cause analysis and implement permanent resolutions for software or business process issues.
- Maintain documentation for assigned systems and projects.
- Collaborate with client teams, architects, analysts, external partners, and international stakeholders.
Requirements
- Strong production experience with dbt, including model development, testing, documentation, dependency management, and deployment practices.
- Strong hands-on Snowflake experience, including performance optimization and troubleshooting.
- Advanced SQL skills and strong knowledge 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.
- Good understanding of Git, CI/CD, and software engineering practices applied to data engineering.
- Ability to work autonomously, investigate production issues, and communicate with technical and non-technical stakeholders.
- Professional English and experience working in collaborative international teams.
- Experience with Dagster, Airflow, or equivalent orchestration tools is preferred.
- Infrastructure-as-code experience with Terraform is preferred.
- Experience with Agentic AI, Snowflake Cortex, AI-enabled data products, AWS data services, Kafka, streaming patterns, Power BI, or similar BI tools is preferred.
Benefits
- Permanent position based in Paris, France.
- Remote and hybrid work options, depending on country and location.
- International mobility and professional development programs.
- Access to learning, training, cutting-edge tools, and industry experts.
- Inclusive culture with accessibility accommodations available during the interview process.
Categories
Data Engineering
About Valtech
Valtech provides digital consulting and engineering services to large enterprises, delivering customer experience design, commerce platforms, data/AI solutions, and transformation programs. It works across sectors such as retail, financial services, manufacturing, mobility, health, and travel, offering strategy, design, build, and managed services. Founded in 1993, Valtech is a global company privately held under Kharis Capital.