Data Engineer - Associate

Shanghai, CN

ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

Your Role

CFM is seeking a talented Data Engineer based in Shanghai to build and own scalable, production-grade data pipelines.

You will deliver flawless, research-ready datasets that fuel advanced analytics and quantitative research.

Rigor, ownership, and technical excellence are essential for this position

Key Responsibilities

Data Engineering

Design and develop robust, efficient, scalable, and monitored production data pipelines in a cloud environment.

Ingest, prepare, transform, and optimize third-party/vendor datasets to generate actionable features.

Analyze and interpret data structures and patterns to improve pipeline design and dataset usability.

Data Excellence

Ensure strong standards for data quality, performance, reliability, and documentation.

Cross-Functional Partnerships & Stakeholder Engagement

Collaborate closely with the local data sourcing team and partner with international Data Science and Research teams based in Paris.

Your Skills

3+ years of experience in data engineering.

Strong curiosity about the finance industry and a commitment to handling data with accuracy and care.

Proven ability to work effectively in a distributed, international environment.

Versatile, autonomous, and detail-oriented, with strong teamwork and communication skills.

Capacity to thrive in a fast-paced, high-stakes context, with a commitment to professional development and continuous learning.

Fluent in English.

Technical Skills :

Strong proficiency in Python, including Pandas.

Solid understanding of cloud-based data architectures.

Good expertise in AWS (e.g. S3, EMR, Glue, Athena, Lambda etc.), complemented by certifications or equivalent experience.

Experiences in Infra-as-Code framework (ideally AWS CDK in Python).

Experiences with CI/CD pipelines, ideally using Jenkins.

Familiarity with the Apache data ecosystem (e.g., Airflow, Spark, Kafka).

Knowledge of modern data formats, including Parquet and Iceberg.

Experience with data platform solutions (ChiefClouds) would be a plus.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.