Senior Data Engineer

For the Data Analytics and AI business line, we are looking for a motivated Data Engineer, with experience in the implementation of 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.

1. You will work with business and software engineering teams to design and build modern/agile data integration platforms from the ground up, driven by concrete business use cases.
2. You will participate in teams through the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, implementation, and flawless delivery. You will be acting as an experienced professional and as a coach for the more junior team members.
3. You will work with business analysts and data scientists to understand and implement their use cases.
4. You will 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. You will participate in group-wide thought leadership initiatives to advance our data & integration platform practice and sustain our technical excellence.

1. A stimulating and professional working environment in a dynamic team with extensive expertise.
2. Exciting projects and challenging problems to solve using the latest technologies.
3. Flat organizational hierarchies and cross-functional teamwork.
4. Close contact with customers in diverse industries.
5. A supportive culture with excellent opportunities for professional and personal development.

1. 4+ years of experience in designing and implementing data platforms.
2. Expert in data engineering, covering data collection, preparation/transformation, and serving to end users.
3. Strong SQL expertise is required.
4. Strong knowledge of Agile methodologies, DevOps, and tooling for CI/CD pipelines, automation, infrastructure as code, automated testing, and code quality.
5. 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.
6. Knowledge of data federation, data mesh, and data product concepts.
7. Good understanding of distributed systems, real-time vs. (micro-)batch processing and related design principles and patterns.
8. Good communication skills, fluent in French and in English.