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Job Title: Data Engineer – Statistical/ML Models 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. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website ( https://www.techaalto.com/privacy/) Confidentiality is assured, and only shortlisted candidates will be notified for interviews. job perk: Posted At: 9 hours ago, job perk: Salary: SGD 6K–SGD 13K a month, job perk: Schedule Type: Contractor