**Data Engineer for Data Analytics and AI Business Line**
We are seeking a motivated Data Engineer with experience in implementing complex distributed IT environments processing or integrating large amounts of data.
The ideal candidate should have competencies in big data technologies such as Apache Spark, MPP, relational databases, and data architecture. Experience with cloud infrastructure (Azure, AWS, or GCP) and DevOps knowledge is also required.
Key Responsibilities:
1. Design and build modern/agile data integration platforms from the ground up, driven by concrete business use cases.
2. Participate in teams throughout the end-to-end project lifecycle, covering initial conception, business requirements, software architecture, implementation, and flawless delivery.
3. Work with business analysts and data scientists to understand and implement their use cases.
4. Support pre-sales on tender responses, proof-of-concept work, and the design of modern/agile data integration platforms, both on-premise and in the cloud.
5. Participate in group-wide thought leadership initiatives to advance our data & integration platform practice and sustain our technical excellence.
About the Role:
* 4+ years of experience in designing and implementing data platforms.
* Expert in data engineering, covering data collection, preparation/transformation, and serving to end users.
* Strong SQL expertise is required.
* Strong knowledge of Agile methodologies, DevOps, and tooling for CI/CD pipelines, automation, infrastructure as code, automated testing, and code quality.
* Experience with one of the public Clouds (AWS, GCP, Azure), and with either Snowflake or Databricks. A certification on one of those is a big plus.
* Knowledge of data federation, data mesh, and data product concepts.
* Good understanding of distributed systems, real-time vs. (micro-)batch processing, and related design principles and patterns.
* Good communication skills, fluent in French and English.