Data Engineer

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. #LI-AB1