12 Month Internship – Data Engineer/Data Analyst

About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB is the corporate and investment bank of the Crédit Agricole group, supporting major companies and financial institutions in their development and the financing of their projects. Social and environmental commitments are central to its activities.

Joining the team means working in a multicultural environment with opportunities for skill development and mobility across more than 30 international locations. The culture is built on collaboration, innovation, and openness, with diversity and inclusion at the heart of its transformations. All roles are open to people with disabilities, and applications are welcome from candidates of all backgrounds and experiences.

Job Summary

Crédit Agricole CIB Global Markets Research is an international team of 40 research professionals across 8 major financial centers. The team builds close relationships with clients and provides personalized analysis.

The data team is expanding to further leverage expertise in rates, credit, FX, Emerging and Equity markets, as well as the data infrastructure built over the years. The new team member will focus on expanding the scope of macroeconomic and sectoral data (Industrials, ESG, Retail, Autos, Emerging Markets, etc.). The intern will contribute to the ongoing development of the data infrastructure and support teams with their data needs, including data extractions, transformations, and analysis.

Role

12 Month Internship – Data Engineer / Data Analyst
Location: London (Europe, United Kingdom)
Expected start date: 01/11/2026 (Start date: November 2026)
Contract type: Internship/Trainee
Duration: 12 months
Management position: No

Key Responsibilities

Data Extraction and Integration

• Collect data from various sources, including databases and APIs, then integrate it into the central data system.
• Clean and format collected data to ensure consistency and usability.
• Participate in the development and optimization of data models and schemas for efficient storage and retrieval.
• Develop scripts to automate data updates.

Data Quality Assurance and Documentation

• Conduct regular checks to ensure the accuracy and integrity of the data being processed.
• Create and maintain comprehensive documentation for data extraction, integration, and automation processes.
• Assist in developing data quality metrics and dashboards to monitor ongoing data integrity.

Collaboration and Reporting

• Work closely with analysts to understand their data needs and ensure integration into the data infrastructure.
• Prepare reports and visualizations to present results of data extraction and integration processes.

Research and Innovation

• Suggest new tools or methodologies to improve existing workflows.
• Design and develop quantitative indicators to support research analysis.

Supplementary Information

Make an Impact

Your work contributes to a social responsibility and sustainable future, supporting financing initiatives aligned with people and the planet.

You can also extend your impact through the Charities Committee, which provides annual paid volunteering leave.

Grow Without Limits

Access development opportunities across the Crédit Agricole Group, including a structured mentoring programme and cross-functional projects and learning initiatives.

Thrive in a Trust-Based Culture

Work in a collaborative environment built on trust, autonomy, and empowerment, supported by diversity networks and community activities beyond the workplace.

Shape the Future of Banking

From digital transformation to innovative solutions, you will be supported to challenge conventions and turn ideas into reality.

Candidate Criteria

Education

• Bachelor’s degree (BSc) or equivalent
• Engineering degree or a Master’s degree in a relevant field (data engineering, computer science, computer information systems, data/analytics, data science)

Required Skills

• Excellent analytical and communication skills
• Autonomous working style with a strong sense of team spirit
• Organized, rigorous, and curious to learn about the financial environment

Technical Skills

• Proficiency in Python, SQL, Git, and C#
• Understanding of data modeling concepts and techniques to design efficient data structures
• Experience with Power BI or other data visualization tools
• Good understanding of IA, MCP, and Agents

Languages

• English or French (spoken and written)

Hiring Process

The hiring process is open to all. If accommodations are needed, you should let the team know.