Editorial summary

The company is seeking a data engineer to design and implement advanced data science solutions within the banking sector, focusing on automation and database integration. The role requires working on weekends and rotation shifts as needed, with responsibilities including automating end-to-end data workflows and collaborating with database engineering teams. The position offers a salary of 9,000 and demands proficiency in data extraction, transformation, modeling, and deployment.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 15279 first appeared in Job-Q.com on 19 Jun 2026]

Successful candidates need to be comfortable with working on weekends, and rotation shifts as and when required.

Key Responsibilities:

• Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
• Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
• Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
• Drive AI/ML adoption for use cases like fraud detection, risk scoring, operational efficiency, customer analytics, and more.
• Contribute to data governance and model risk management processes in line with regulatory standards.
• Mentor junior data scientists and contribute to building best practices and a strong data culture.
• Any other ad-hoc duties as assigned by supervisors

Requirements:

• Bachelor’s degree in Engineering / Computer Science / Information Technology or related field.
• Around 9 - 12 years of experience and above
• Experience with PL/SQL, Python, Shell Scripting and cloud-based environment.

Interested applicants, please email your resume to Douglas Tan Yu Feng

Email: douglastan@recruitexpress.com.sg

CEI Reg No: R26160004

EA Licence No: 99C4599

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