AVP Data Engineer: Cloud Data Platform & BI Leader

uobgroup; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Limited (UOB) invites experienced data engineers to develop and maintain data platforms and ML-capable infrastructure. You will work with stakeholders to translate requirements into effective dashboards and reports, using Power BI, Tableau, or Looker, and ensure data governance across cloud-native environments.

Ideal candidates hold 5+ years in data engineering, BI, or ML roles, with Python and SQL proficiency and knowledge of BigQuery, Kafka, and cloud data services.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• At least 5 years of experience in data engineering, business intelligence, ML engineering, or related role in production.
• Hands-on experience with Python and SQL; familiarity with other languages is a plus.
• Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS.

Responsibilities

• Develop and maintain infrastructure for enterprise data platforms and machine learning.
• Collaborate with business stakeholders to gather requirements and translate them into data visualizations and reporting solutions.
• Design, build, and maintain scalable dashboards using BI tools like Power BI, Tableau, or Looker.
• Implement and manage data governance frameworks and access controls in cloud-native tools.

Skills

Python

SQL

BI Visualization

Cloud platforms

Data governance

CI/CD

Communication

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Power BI

Tableau

Looker

Job description

United Overseas Bank Limited (UOB) invites experienced data engineers to develop and maintain data platforms and ML-capable infrastructure. You will work with stakeholders to translate requirements into effective dashboards and reports, using Power BI, Tableau, or Looker, and ensure data governance across cloud-native environments.

Ideal candidates hold 5+ years in data engineering, BI, or ML roles, with Python and SQL proficiency and knowledge of BigQuery, Kafka, and cloud data services.