Job Description

Job Title: Data Engineer - Statistical/ML Models

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Location:

Singapore

Experience:

4-15 years

Employment Type:

Full-time

About the Role:

We are looking for a

Data Engineer

experienced in building and managing

data pipelines for statistical and machine learning models

. The role involves close collaboration with data scientists and analysts to enable scalable model training, data ingestion, and real-time analytics.

Key Responsibilities:

Design, build, and maintain scalable data pipelines to support ML and statistical modeling. Integrate structured and unstructured data from multiple sources into analytical environments. Implement efficient ETL/ELT workflows for data preparation, cleaning, and feature engineering. Collaborate with data science teams to ensure smooth deployment of ML models to production. Optimize data workflows for performance, scalability, and reliability. Manage data quality, lineage, and governance standards.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 4-15 years of experience as a

Data Engineer

with exposure to

machine learning workflows

. Strong proficiency in

Python

and SQL; experience with

data manipulation frameworks

(Pandas, PySpark, DuckDB). Familiarity with

ML model lifecycle

, from data preprocessing to deployment. Experience with

data pipeline tools

(Airflow, Prefect, dbt) and

cloud platforms

(AWS, Azure, GCP). Knowledge of

containerization (Docker)

and

CI/CD pipelines

. Experience working in a

quantitative, trading, or data-driven environment

is advantageous.
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