Senior Data & AI Engineer — Remote, Impact & Innovation

Coface; Île-de-France; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

3 days remote per week

Remote work subsidy €30 per month

Remote work vouchers €12 per day

Language training platform access

Remote work equipment allowance €350

Electric bike purchase contribution

Job summary

Coface is seeking a Senior Data Engineer/Data Office professional to join an international team. You will design and implement data governance, quality controls and AI-enabled data solutions in a collaborative environment. The role emphasizes Python, SQL, and modern data architectures.

Collaboration across métiers and technical stakeholders is essential, with English as the working language. Hybrid position with opportunities for remote work and ongoing learning; prior experience in banking or

Qualifications

• Bachelor's level or higher in Data/AI-related field with 5+ years of experience.
• Proficient in Python and SQL for data processing and modeling.
• Experience with Git, Docker, Kubernetes, and CI/CD practices.
• Knowledge of ML, LLM, RAG, and Text-to-SQL.
• Understanding of Data Warehouse architectures and REST APIs.

Responsibilities

• Design, develop and maintain Python data services and apps.
• Automate Data Governance and Data Quality processes.
• Build data quality checks, anomaly detection, and monitoring.
• Create APIs and services to integrate with Data/BI platforms.
• Participate in industrialization and deployment of data management processes.

Skills

Python

SQL

Git

Docker

Kubernetes

CI/CD

Machine Learning

LLM

RAG

Text-to-SQL

APIs (REST)

Education

Bac+5 (Engineering school or Master 2 in Data or AI)

Tools

Git

Docker

Kubernetes

MCP (Model Context Protocol)

Job description

Coface is seeking a Senior Data Engineer/Data Office professional to join an international team. You will design and implement data governance, quality controls and AI-enabled data solutions in a collaborative environment. The role emphasizes Python, SQL, and modern data architectures.

Collaboration across métiers and technical stakeholders is essential, with English as the working language. Hybrid position with opportunities for remote work and ongoing learning; prior experience in banking or