Data Engineer - Associate

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.

CFM China, a wholly foreign-owned enterprise (WFOE) of the CFM group, supports the group’s centralized research activities by providing deeper insights into local markets and data.

CFM China covers the entire lifecycle of local data, from sourcing relevant datasets and building robust data pipelines, to preparing data for quantitative analysis and research use

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.

FOLLOW US

Follow us on Twitter or LinkedIn or visit our website to find out more about CFM.