> Markdown version of [/jobs/ext/1541865-data-engineer](https://www.wearedevelopers.com/jobs/ext/1541865-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Teradata
- **Location:** Antony, France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Standard Sql, Teradata SQL, Workflow Management Systems, Data Processing, Large Language Models, Generative AI, Git, Data Lakes, Kubernetes, Data Management, Data Pipelines, Jenkins
- **Published:** July 17, 2026
- **Apply:** https://dejobs.org/x/x/8E14392BAC164985AF76EADE419ED759/job/

## About the Role

* Proven experience in data engineering or data warehousing, 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 (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.

## Description

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.


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment)
- [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)