Junior Data Engineer

Crédit Agricole SA; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Crédit Agricole CIB in Singapore is seeking a Data Engineer to design and build scalable data pipelines that support ML and analytics. You will collaborate with data scientists, ML engineers, and analysts to deliver robust, production-ready pipelines and services.

The role involves developing ingestion and transformation pipelines in Python, building backend services, and ensuring real-time and batch processing performance. Familiarity with Docker, Kubernetes and cloud platforms is essential.

Qualifications

• Graduate or Master's degree in AI/ML/Data.
• 2+ years of software development, ML engineering, or data pipeline engineering.
• Strong programming skills in Python (pandas, scikit-learn, FastAPI or Flask).
• Familiarity with SQL and cloud data warehouses (BigQuery, Snowflake, Redshift).
• Knowledge of NoSQL databases; Graph DB desirable.
• Hands-on with data pipeline tools like Airflow/Luigi.
• Experience with Git, testing, and agile practices.
• Experience with CI/CD and containers (Docker, Kubernetes).
• Exposure to cloud environments (AWS, GCP, or Azure) and containerization.

Responsibilities

• Design and develop data ingestion, transformation, and delivery pipelines using Python and ETL tools.
• Build backend services, APIs or UIs to support ML applications.
• Maintain and optimize batch and real-time data pipelines for performance and scalability.
• Support packaging and deployment of ML models into production environments.
• Write clean, modular, testable code and participate in code reviews.
• Collaborate with data scientists, engineers and DevOps for scalable pipelines.
• Support data exploration, feature engineering, and model building where needed.
• Automate data validation, quality checks, and pipeline monitoring.
• Work with cloud platforms and container technologies (Docker, Kubernetes).
• Follow best practices for versioning, logging, and CI/CD.

Skills

Python programming

Data pipelines

ML workflow integration

Git version control

CI/CD practices

Problem solving

Education

Graduate/Master’s in AI/ML/Data

Tools

Apache Airflow

Luigi

Docker

Kubernetes

ReactJS

BigQuery

Snowflake

Redshift

Job description

Position

In a challenging and multicultural environment, we are looking for a Data Engineer to join our Digital Excellence Centre (DEC) department of Crédit Agricole CIB. The department handles the development of transversal and international projects.

The ideal candidate is a Python programmer with hands-on experience building data pipelines and integrating data workflows to support ML and analytics use cases. You'll work closely with data engineers, ML engineers, and analysts to design, build, and maintain scalable data pipelines that are robust and production ready.

Main responsibilities

• Design and develop data ingestion, transformation, and delivery pipelines using Python and modern ETL tools.
• Build backend services, APIs or UIs (if ReactJS experience is present) to support ML applications
• Maintain and optimize batch and real-time data pipelines for performance and scalability
• Support the packaging and deployment of machine learning models into production environments.
• Write clean, modular, testable code and participate in code reviews.
• Collaborate with data scientists, engineers and DevOps teams to scalable and reliable data pipeline.
• Support data exploration, feature engineering, and occasional model building where needed.
• Automate data validation, quality checks, and pipeline monitoring.
• Work with cloud platforms and container technologies (Docker, Kubernetes)
• Follow best practices for versioning, logging, and CI/CD.

Qualifications and Profile

Mandatory:

• Have Graduate or Master’s degree in the relevant field of AI / ML / Data.
• 2+ years of experience in software development, ML engineering, or data pipeline engineering.
• Strong programming skills in Python (pandas, scikit-learn, FastAPI or Flask)
• Familiarity with SQL and working with relational databases or cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
• Knowledge on NoSQL databases (any experience in Graph database is desirable)
• Hands-on with data pipeline tools like Apache Airflow, Luigi, or similar tools.
• Experience with version control (Git), testing, and agile development practices.
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
• Exposure to cloud environments (AWS, GCP, or Azure) and containerization (Docker).
• Strong debugging and problem-solving skills.

Preferred skills:

• Experience in ReactJS or building frontend components for ML dashboards or monitoring tools.
• Exposure to streaming data (e.g., Kafka, Spark Streaming).
• Familiarity with MLOps tools like MLflow, TFX, or Seldon.
• Basic understanding of machine learning concepts and model deployment lifecycle

Supplementary Information

Other Professional Skills and Mind‑set

• Ability and willingness to learn and adopt new technologies
• Strong organizational and communication skills
• Strong analytical and problem solving skills
• Awareness of various software development procedures
• Ability to follow defined procedures
• Understanding and respect of cultural diversity

City

Bachelor Degree / BSc Degree or equivalent

Bachelor and above in relevant discipline

Level of minimal experience

0-2 years

General information

Entity

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

Entity

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

Crédit Agricole CIB is the corporate and investment bank of the Crédit Agricole group, the 10th largest banking group in the world *.

We support major companies and financial institutions in their development and the financing of their projects.

As pioneers in responsible finance, social and environmental commitments are at the heart of our activities.

Joining our teams means working in a multicultural environment, both dynamic and stimulating, where you will contribute to developing a sustainable economy.

We support employees throughout their journey: you will develop your skills and access various mobility opportunities among the diversity of our businesses in more than 30 international locations.

Our culture is built on collaboration, innovation and openness, where everyone is valued and empowered.

By working every day in the interest of society, Crédit Agricole CIB aligns with the Group values committed to diversity and inclusion and placing people at the heart of all its transformations.

All our jobs are open to people with disabilities. We welcome applications from candidates of all backgrounds and experiences.

*By balance sheet size - The Banker, Juillet 2025

Reference

2026-116598

Reference

2026-116598

Update date

19/10/2026