Job description
For our customers:
Industrialization of data pipelines: ingestion, transformation, enrichment — ensuring performance, scalability and robustness (incremental processing, idempotency).
Performance optimization: tuning SQL queries, distributed calculations with Spark, continuous improvement of processing performance.
Contribution to a cross-CSP data platform: addition of preconfigured services, rapid deployment of functionalities (serverless, GenAI), provision of tools for AI teams.
Automation and reliability of workflows: CI/CD implementation, monitoring, infrastructure as code and native cloud integration.
Transversal collaboration: interaction with ML/DS, DevOps and DevSecOps teams on shared and structuring topics.
Design of robust architectures: modeling, technological choices, drafting of architecture documents (C4 method), sharing of best practices.
Internally:
Best practices: structuring development guidelines, code quality, testing strategy.
Technical influence: participation in internal events, content writing, involvement in monitoring dynamics.
Mentoring: support for more junior profiles, transmission of skills and contribution to the technical culture of the team.
Profile wanted
Graduated from a Master 2 (engineering school or equivalent computer science course).
Proven experience in Data Engineering, with a strong exposure to cloud environments (AWS essential, *Azure and Databricks appreciated).
Control of data pipelines, distributed processing, and modern data architectures.
Ability to evolve in complex and multi-team environments.
Fluent level in French and English (C1/C2 required).
Expected qualities
Collaborative spirit: at ease in multidisciplinary environments, with an ability to deal with transversal subjects.
Rigor and structuring: appetite for well-organized environments, clear documentation and development standards.
Spirit of initiative: proactive, proactive, solution-oriented.
Ability to popularize: ability to make the link between technique and business challenges.
A taste for sharing: desire to transmit and to continue learning.
