Overview
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America.
In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices.
Our history spans more than 80 years.
Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed.
This means we always strive to do what is right, build for the future, work as one team and pursue long-term success.
It is how we work, consistently, be it towards the company, our colleagues or our customers.
Job function: Other | Industry: Banking | Seniority level: Mid-Senior level | Employment type: Full-time
Job Responsibilities
Develop and maintain infrastructure for enterprise data platforms and machine learning.
Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations and reporting solutions.
Design, build, and maintain scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker.
Implement and manage data governance frameworks, including data cataloging, lineage, quality, and access controls using cloud-native tools (e.g., AWS Glue, Azure Purview, Google Cloud Data Catalog).
Design, develop, and maintain data platforms that support large-scale data ingestion, storage, and processing using cloud-based data infrastructure; tailor data warehousing and centralized data solutions for asset management; evaluate and integrate new data technologies and tools to enhance data platform capabilities.
Build and maintain robust data pipelines for ingestion, processing, and transformation; implement data quality checks and validation processes to ensure data accuracy, timeliness, and consistency; utilize ETL/ELT tools to transform and load data into target systems.
Apply exceptional problem-solving skills to anticipate and resolve issues before they escalate; learn and share knowledge in a multi-disciplinary team environment.
Collaborate effectively with teammates or work independently as required.
Job Requirements
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, machine learning engineering, or a related role in a production environment.
Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA).
Hands-on experience in Python and SQL.
Experience with other programming languages (e.g., Java, Scala, C++) is a plus.
Experience in DataOps and MLOps best practices.
Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services.
Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
Excellent communication and organizational skills, with the ability to stay focused on tasks and goals within a busy workspace.
Ability to work in a team of engineers or independently as required; strong troubleshooting and analytical skills.
Cloud and data certifications are a plus.
Additional Requirements
Be a Part of the UOB Family
UOB is an equal opportunity employer.
UOB does not discriminate on the basis of age, race, gender, color, religion, sexual orientation, disability, or other non-merit factors.
All employment decisions are based on business needs, job requirements and qualifications.
If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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