12 Month Internship

12 Month Internship – Data Engineer/Data Analyst – London

Are you looking for a 12-month Data Engineering or Data Analytics internship in London with an international investment bank? Crédit Agricole CIB is recruiting a Data Engineer/Data Analyst Intern to join its Global Markets Research team.

This opportunity is aimed at candidates with a background in data engineering, computer science, data science, analytics, computer information systems or a related engineering/technical discipline.

The successful intern will work with data from areas including macroeconomics, ESG, Retail, Autos, Emerging Markets and other financial sectors, while collaborating with analysts, strategists, traders and other professionals.

The internship is scheduled to start in November 2026 and will run for 12 months.

Job Overview

Job detail	Information
Job title	12 Month Internship – Data Engineer/Data Analyst
Employer	Crédit Agricole CIB
Business area	Corporate & Investment Banking
Team	Global Markets Research – Research-Quants
Job type	Internship/Trainee
Duration	12 months
Expected start date	1 November 2026
Location	London, United Kingdom
Geographical area	Europe – United Kingdom
Management position	No
Minimum education	Bachelor’s degree/BSc or equivalent
Relevant fields	Data Engineering, Computer Science, Data/Analytics, Data Science, Computer Information Systems or related Engineering
Technical skills	Python, SQL, Git, C#
Data visualisation	Power BI or another data visualisation tool
Languages	English or French, spoken and written
Reference	2026-115373
Advert updated	8 September 2026

About the Data Engineer/Data Analyst Internship

Crédit Agricole CIB Global Markets Research is an international research organisation with approximately 40 research professionals working across eight major financial centres.

The team provides analysis and research across a wide range of financial markets, including rates, credit, foreign exchange, emerging markets and equities.

The successful intern will join the Research-Quants data team, helping expand the organisation’s use of macroeconomic and sectoral data.

The role combines elements of data engineering, data analytics, data quality, automation, quantitative research and data visualisation.

You will work closely with analysts, strategists, traders and other teams to understand their data requirements and help turn raw information into useful data and research outputs.

What Will You Do?

The main objective of the internship is to contribute to the continued development of the team’s data infrastructure while helping expand the scope and quality of the data available to researchers.

Your work may cover areas such as:

Data extraction
Data integration
Data cleaning
Data transformation
Data modelling
Data quality assurance
Data automation
Data visualisation
Quantitative indicators
Research support
Technical documentation

The position provides an opportunity to gain practical experience applying technical data skills within a financial and investment banking environment.

Key Responsibilities

1. Data Extraction and Integration

A major part of the position involves collecting and integrating data from different sources.

Your responsibilities will include:

Collecting data from multiple sources.
Working with databases and APIs.
Integrating information into the team’s central data system.
Cleaning and formatting datasets.
Ensuring data is consistent and usable.
Participating in the development and optimisation of data models.
Helping design efficient data structures for storage and retrieval.
Developing scripts to automate data updates.

This means the role is suitable for candidates interested in building practical experience with the processes involved in taking data from source systems and turning it into reliable information for analysis.

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2. Data Quality Assurance and Documentation

Data accuracy is important in financial research.

The intern will therefore contribute to data quality activities, including:

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Performing regular data quality checks.
Checking the accuracy and integrity of processed information.
Identifying potential data issues.
Supporting the development of data quality metrics.
Helping create dashboards for monitoring data integrity.
Maintaining documentation for data extraction processes.
Documenting integration workflows.
Documenting automation processes.

Good documentation and attention to detail will be important because the data infrastructure supports multiple research activities.

3. Collaboration and Reporting

You will work closely with research professionals to understand their data requirements.

This can involve:

Working with analysts to identify data needs.
Helping integrate required information into the data infrastructure.
Preparing reports.
Creating data visualisations.
Presenting the results of data extraction and integration activities.
Supporting teams that use data for research and analysis.

The role therefore requires more than technical ability. Strong communication and teamwork skills are also important.

4. Research and Innovation

The internship also provides an opportunity to contribute ideas for improving existing workflows.

You will be encouraged to:

Suggest new tools and methodologies.
Identify opportunities to improve existing processes.
Develop quantitative indicators.
Support research analysis.
Explore ways to improve data workflows and infrastructure.

Candidates who are naturally curious and interested in experimenting with new technologies may find this aspect of the role particularly relevant.

Candidate Requirements

Education

The minimum education requirement is a Bachelor’s degree/BSc degree or equivalent.

The advert specifically identifies candidates with an Engineering or Master’s degree in a relevant field, including:

Data Engineering
Computer Science
Computer Information Systems
Data Analytics
Data Science
Related engineering disciplines

Applicants should therefore have an academic background that provides a strong foundation in technical, analytical or data-related subjects.

Required Technical Skills

The employer is looking for candidates with proficiency in:

Python
SQL
Git
C#

You should also understand data modelling concepts and techniques, particularly those used to create efficient data structures.

Experience with Power BI or another data visualisation platform is also required.

In addition, the advert requests a good understanding of:

Artificial Intelligence
MCP
AI Agents

This combination makes the opportunity particularly relevant to students and recent graduates interested in the intersection of data engineering, analytics, AI and financial research.

Personal Skills

Technical knowledge is only one part of the selection criteria.

The successful candidate should demonstrate:

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Excellent analytical skills

You should be comfortable analysing information, identifying patterns and approaching data-related problems logically.

Strong communication skills

Because the role involves working with analysts and other professionals, you should be able to communicate technical information clearly.

Team spirit

The position involves collaboration across different teams, so you should be comfortable working as part of an international team.

Autonomy

You should be capable of taking responsibility for assigned tasks and progressing work independently.

Organisation and rigour

Data work requires accuracy, consistency and attention to detail.

Curiosity

The employer is looking for someone who is curious and willing to learn about both data technologies and the financial environment.

Languages

The advert states that candidates should have English or French language skills, both spoken and written.

As the position is based in London and involves an international research environment, strong communication ability will be valuable.

What You Could Gain From the Internship

This 12-month internship offers exposure to a combination of data engineering, financial research and investment banking.

Depending on the work assigned, the successful intern can gain practical experience in areas such as:

Data pipelines
Database and API data extraction
Data transformation
Data quality
Data modelling
Automation
Python programming
SQL
Git
C#
Power BI
Quantitative indicators
AI and emerging technologies
Financial-market research
Data-driven decision support

The role also provides an opportunity to work with professionals across different areas of Global Markets Research.

Working Environment

Crédit Agricole CIB describes its working environment as multicultural, collaborative and focused on innovation.

The Global Markets Research team operates internationally, with professionals across multiple financial centres.

The intern will therefore have the opportunity to work in an environment connected to international financial markets and research.

Employee Development and Career Opportunities

Crédit Agricole CIB highlights development opportunities across the wider Crédit Agricole Group.

Employees can develop existing expertise, learn new skills and explore opportunities across different businesses and international locations.

The organisation also highlights:

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Structured mentoring
Cross-functional projects
Learning initiatives
International mobility opportunities
Skills development
Collaboration across business areas

For candidates considering a long-term career in banking, financial technology, data science, data engineering or quantitative research, this type of experience can provide valuable exposure to a major financial institution.

Diversity, Inclusion and Accessibility

Crédit Agricole CIB states that its recruitment process is open to all candidates.

The organisation says applicants requiring accommodations can notify the recruitment team.

The employer also states that its jobs are open to people with disabilities and welcomes applications from candidates from different backgrounds and experiences.

Visa Sponsorship and Right to Work

Important: the advert does not explicitly confirm that visa sponsorship is available for this internship.

Although the position is located in London, United Kingdom, applicants who require UK immigration permission should not assume that sponsorship or a Certificate of Sponsorship is available.

Before applying, candidates who require sponsorship should verify their eligibility and confirm the employer’s current position on immigration sponsorship directly through the official vacancy or recruitment team.

This is particularly important for international students, graduates and applicants currently outside the UK.

Who Should Consider Applying?

This internship may be particularly relevant to candidates who:

Have a Bachelor’s, Master’s or equivalent qualification in a relevant technical field.
Are interested in data engineering.
Want practical data analytics experience.
Have experience using Python and SQL.
Understand Git and C#.
Have knowledge of data modelling.
Have experience with Power BI or another visualisation platform.
Are interested in AI, MCP and AI Agents.
Want exposure to financial markets.
Are interested in investment banking.
Enjoy working with research and analytical teams.
Can communicate effectively in English or French.
Are organised, curious and detail-oriented.
Can work independently while contributing effectively to a team.

Start Date

The advertised expected start date is:

1 November 2026

The internship duration is 12 months.

Candidates should make sure they are able to commit to the advertised internship period before applying.

How to Apply

Interested candidates should review the full vacancy information and submit their application through the official Crédit Agricole CIB recruitment platform.

Full details + Apply:
https://jobs.ca-cib.com/emploi-12-month-internship-data-engineer-data-analyst_115373.aspx

When applying, make sure your CV clearly demonstrates your relevant technical skills and academic background.

For a data-focused internship, applicants should consider highlighting relevant experience with:

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Python projects
SQL/database projects
Data analysis
Data engineering
Data modelling
Power BI
Git/GitHub
C#
APIs
Automation
AI projects
Quantitative analysis

Where relevant, include university projects, dissertations, personal projects, internships and other practical experience that demonstrate your technical abilities.

Application Tips for Data Engineering Internship Candidates

A strong application should make it easy for recruiters to identify your technical strengths.

If you have built a data pipeline, automated a data process, created a Power BI dashboard or worked with APIs, consider clearly explaining what you built and the technologies you used.

For example, rather than simply listing “Python” on your CV, explain the type of project where you applied Python.

Similarly, candidates with SQL experience can highlight database querying, data transformation, reporting or analytics projects.

Because this position combines technical work with financial research, demonstrating an interest in data and financial markets may also strengthen your application.

Frequently Asked Questions

What is the job title?

The position is 12 Month Internship – Data Engineer/Data Analyst.

Where is the internship based?

The role is based in London, United Kingdom.

How long is the internship?

The advertised internship lasts 12 months.

When does the internship start?

The expected start date is 1 November 2026.

What type of contract is offered?

The vacancy is classified as an Internship/Trainee position.

What degree is required?

The minimum education level is a Bachelor’s degree/BSc degree or equivalent. The advert identifies relevant areas including engineering, data engineering, computer science, computer information systems, data analytics and data science.

Which programming languages are required?

The advert lists Python, SQL, Git and C# among the required technical skills.

Is Power BI required?

The advert requests experience with Power BI or another data visualisation tool.

Does the position involve AI?

Yes. The advert states that candidates should have a good understanding of AI, MCP and Agents.

Is visa sponsorship available?

The vacancy does not explicitly confirm visa sponsorship. Candidates requiring UK sponsorship should verify this directly with Crédit Agricole CIB before relying on the position for immigration purposes.

Is this a management position?

No. The advert specifies that this is not a management position.

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What is the vacancy reference number?

The reference number is 2026-115373.

About Crédit Agricole CIB

Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB) is the corporate and investment banking arm of the Crédit Agricole Group.

The organisation supports major companies and financial institutions with their development and project financing.

Crédit Agricole CIB describes responsible finance, sustainability, diversity and inclusion as important elements of its activities.

The organisation operates across more than 30 international locations and provides employees with opportunities to develop skills and explore different career paths across its businesses.

Why This Internship Stands Out

For candidates pursuing careers in data, this opportunity combines several valuable areas in one role.

You would not be working exclusively on theoretical data exercises. The position involves real data extraction, integration, quality assurance, automation, modelling, visualisation and research support.

The financial-market environment also provides exposure to how data can support research and investment-related activities.

The combination of Python, SQL, C#, Git, Power BI, AI and data modelling makes the role particularly relevant to candidates building careers in modern data engineering and analytics.

Final Takeaway

The 12 Month Internship – Data Engineer/Data Analyst at Crédit Agricole CIB is a London-based opportunity for candidates with a strong technical and analytical background who want to gain experience within an international corporate and investment banking environment.

The role combines data engineering, data analytics, automation, data quality, visualisation and quantitative research, with opportunities to work alongside analysts, strategists and other financial-market professionals.

The internship is scheduled to begin on 1 November 2026 and runs for 12 months.

If your background includes Python, SQL, Git, C#, data modelling, Power BI and AI-related technologies, this could be an opportunity worth reviewing.

Source and Disclaimer

This job information is based on the vacancy published by Crédit Agricole CIB, reference 2026-115373, updated 8 September 2026.

Applicants should check the employer’s official vacancy page for the latest information before applying. Job requirements, dates and recruitment arrangements can change.

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