What You'll Do
In this role you will join Teradata's French delivery team and work directly on-site at our clients' premises to help them get the most out of their Teradata platform. Your missions will include:
- Designing and architecting data solutions tailored to client needs, from requirements gathering through to implementation.
- Developing and optimizing SQL-based data pipelines and ETL processes on Teradata environments.
- Troubleshooting and tuning performance on large-scale data warehousing systems.
- Acting as a trusted advisor to clients, guiding them on best practices and helping them adopt new capabilities.
Success in this role looks like delivering high-quality, on-time solutions that measurably improve our clients' data capabilities — and building the kind of trusted relationships that make Teradata their partner of choice.
Who You'll Work With
You will be part of Teradata France's delivery team, a group of 20+ experienced consultants and data engineers who collectively serve some of France's largest enterprises. The team operates in close collaboration with our sales and pre-sales colleagues to ensure seamless client engagement from opportunity through to delivery. This position reports to the French Delivery Manager.
What Makes You a Qualified Candidate
- Proven experience in data engineering or data warehousing (Teradata preferred) , with strong hands-on SQL skills.
- Proficiency in Python for data processing and automation.
- Client-facing experience with a genuine service mindset and a solution-oriented, proactive approach.
- Strong team player, comfortable working within a large, collaborative delivery organization.
- Professional proficiency in English and French(internal communications and documentation).
What You'll Bring
- Familiarity with open table formats such as Delta Lake or Apache Iceberg.
- Experience with cloud platforms (AWS, Azure, or GCP) in a data context.
- Knowledge of CI/CD practices and tools such as Git and Jenkins.
- Exposure to data integration or orchestration tools (Fivetran, Airflow, dbt, Kubernetes, or similar).
- A natural curiosity for AI — hands-on experience with GenAI tools (LLMs, RAG, vector databases, or agentic workflows) is a strong plus.
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