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Senior Data Engineer (H/F) at Meilleurtaux | Paris

On-site Full-time

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Experience Level

Senior

Qualifications

Your profile? A degree (BAC+4/+5) in Engineering, University, or equivalent, with a minimum of 5 years of experience in data engineering within a GCP environment. Throughout your career, you have demonstrated the ability to lead large-scale Data projects linked to significant business challenges in cloud environments. You have prior experience as a manager, reference point, or technical lead. Ability to convey a vision for a company's Data strategy and involve teams in this impactful transformation across all our Business Units. You contribute to Data observability and Data Quality. You possess knowledge of DataOps (CI/CD, Git, automated integration and deployment, monitoring, etc.).

About the job

Are you looking to join a leading fintech company in credit and insurance, known for its strong growth, innovation, and an abundance of projects? If so, this opportunity could be perfect for you!

As part of the Data, AI & CRM department, you will join the Data for Business team responsible for developing data and AI products across all our operations.

In an agile environment, you will be part of a team of 5, including data analysts, data engineers, and a Product Manager.

Your responsibilities :

  • Define, design, and implement strategies related to the Data Platform:
    • Architecture (currently using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Azure exposure) in collaboration with the Architecture teams to ensure cost-effective availability of data;
    • Ensure Data Platform security by working closely with the Group's Cybersecurity teams;
    • Functional coverage (tools, business functions) for the Group and feeding the Bronze layer, which includes implementing and maintaining reliable and efficient data pipelines using Python (ETL/ELT approaches);
    • Build the Silver layer (customer references, opportunities, products, consent, etc.) aligned with business needs, including implementing and maintaining DBT pipelines and providing meta data, especially data models;
    • Monitor activity to ensure data reliability for all our operations.
  • Define, design, and implement the data governance strategy:
    • Contribute to the implementation of data governance (Fluidity, Data Quality, outreach, cultural awareness) with business units and data consumers (Data Analysts, Finance, Data Scientists, etc.).
  • Organize the framework and processes:
    • Establish and promote modern engineering practices: CI/CD, automated testing, infrastructure as code, GenAI for Data, MCP Data Platform, particularly in collaboration with Software Engineering teams.
  • Communicate and collaborate:
    • Be the point of reference for the data engineering team (team leadership, code reviews, skills development) and assist in team recruitment.
  • Maintain an active watch on cloud and data technologies to propose continuous improvement initiatives.

About Meilleurtaux

At Meilleurtaux, Data & Tech are at the heart of transforming financial services. For the past 27 years, we have developed digital platforms capable of supporting nearly 3 million clients annually, managing high volumes and critical issues. 28 million annual visitors, 125 million visits on our platforms, nearly 300 agencies across France over 5 billion euros in credits unlocked and 6 billion euros in assets managed by 2025With over 160 people, our Tech, Data, and Product teams tackle complex challenges: performance, scalability, data quality, user journeys, security, and system interoperability. Here, expertise is valued, decisions are made swiftly, and there is a strong freedom of initiative.

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