AVP/VP, Data Engineering & Analytics, PB Commercial Office
Summary
Lead data engineering and analytics initiatives for a leading Asian bank, building scalable ETL pipelines and delivering insights via Qlik Sense dashboards to drive business decisions.
About UOB 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 Description Data Engineering
- Design, develop, and maintain scalable ETL pipelines and data workflows.
- Integrate and stitch data from multiple sources into unified datasets.
- Ensure data quality, consistency and reliability across systems.
- Collaborate with IT and business teams to implement data solutions.
- Maintain documentation of data architecture, processes and Technical Metadata.
- End to End User Testing to ensure accuracy on the new datasets.
- Analyze structured and unstructured data to identify trends, patterns, and insights.
- Develop dashboards and reports using tools like Qlik Sense and Nprinting.
- Translate business requirements into data queries and visualizations.
- Support ad-hoc data requests and exploratory analysis for stakeholders.
- Communicate findings and recommendations clearly to non-technical audiences.
- Goal oriented, resourceful self-starter with strong interpersonal and networking skills.
- Thrive in a fast-paced environment, work independently, prioritize deliverables to meet timelines efficiently, and able to adapt to changes in priorities quickly.
- Strategic thinker, pragmatic executor – able to conceptualize, develop, and deliver strategic initiatives aimed at increasing revenue, improving operational efficiencies and promoting growth.
- Analytical mindset with strong business acumen – able to proficiently understand, structure and articulate complex technical concepts in a clear and actionable manner to non-technical stakeholders.
- Excellent presentation skills, including strong oral and writing capabilities.
- Stellar stakeholder management.
- Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field (preferred).
- Minimum of 3 years of experience in data engineering, data management, data analytics or business intelligence roles.
- Mandatory understanding of business models, data dictionaries, and proficiency in querying data using SQL tools.
- Proficiency in programming languages such as Python, Java, R, and SQL.
- Knowledge of advanced analytics and BI tools like Qlik Sense, MS BI, and Tableau is a strong plus.
- Experience with big data technologies (e.g., HDFS, Hive, Impala).
- Knowledge of data governance frameworks and best practices.
- Excellent presentation and written communication skills, along with strong interpersonal abilities.
- Experience in the banking sector is advantageous.