Data Analytics

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Limited (UOB) is seeking a senior data engineer to lead the delivery of enterprise data platforms and analytics layers. You will collaborate with Technology, Data Analysts and business stakeholders to design scalable datamarts and governance-friendly pipelines.

The role focuses on data modelling, transformation logic, performance optimisation, and cross-border data readiness within a regulated banking environment.

Qualifications

• 8–12+ years of experience in data engineering or analytics engineering in banking or regulated environments.
• Hands-on experience with enterprise-scale data platforms (EDW, Data Lakes, datamarts) from requirements through to production.
• Strong knowledge of SQL, data modelling, ETL/ELT frameworks and performance optimisation concepts.
• Experience working in multi-stakeholder delivery environments with Technology, Business and Analytics teams.

Responsibilities

• Contribute to building and evolving enterprise-scale GWB data platforms, including datamarts and analytics layers.
• Collaborate with Technology and delivery partners to ensure scalable and performant data solutions.
• Support governance, risk and regulatory readiness for cross-border data use and audits.
• Mentor and uplift data engineering practices within the team; review designs and code for platform thinking.

Skills

SQL

Data modelling

ETL/ELT

Performance optimisation

Stakeholder management

Job description

Job Description

1. Data Platform & Architecture (Collaborative Delivery)

• Participate in the end‑to‑end build and evolution of enterprise‑scale GWB data platforms, including datamarts and analytics layers, in close collaboration with key Technology and delivery partners.
• Contribute to data modelling standards, transformation logic and reusable engineering patterns, ensuring scalability, performance and consistency across countries and products.

2. Analytics Enablement & Business Partnership

• Work closely with Data Analysts / Scientists, Business stakeholders, Technology and Data Governance teams to enable governed self‑service analytics and downstream use cases.
• Support advanced analytics initiatives (e.g. risk assurance, early warning, monetisation, GenAI‑enabled analytics) by helping ensure reliable, well‑structured and well‑documented data foundations.
• Provide technical input and practical perspectives to analytics leadership on feasibility, dependencies, sequencing and implementation considerations.

3. Governance, Risk & Regulatory Readiness

• Ensure data engineering deliverables adhere to data access controls, country restrictions, governance approvals and regulatory requirements, particularly for cross‑border data use.
• Support internal audits, model validation and regulatory reviews through clear documentation, traceability and explainability of data pipelines and transformations.

4. People & Capability Contribution

• Contribute to raising engineering standards and good data practices within the GWB Data Analytics team through reviews, knowledge sharing and mentoring.
• Review designs, code and delivery approaches, helping teammates develop platform‑level thinking rather than ad‑hoc solutions.

Required Experience & Qualifications

Essential

• 8–12+ years of experience in data engineering, data platform or analytics engineering roles, preferably within banking or large regulated environments.
• Hands‑on experience participating in enterprise‑scale data platform or datamart implementations (EDW, Datamarts, Data Lakes), from requirements through to UAT and production.
• Strong working knowledge of SQL, data modelling, ETL / ELT frameworks, and performance optimisation concepts.
• Experience working in multi‑stakeholder delivery environments, collaborating with Technology, Business and Analytics teams.

Strongly Preferred

• Exposure to Wholesale Banking, Credit, Trade, Liquidity, Risk or Finance data domains.
• Experience working with self‑service BI ecosystems, layered data architectures and governed analytics platforms.
• Familiarity with data governance, audit considerations and regulatory data controls in a banking environment.
• Prior experience acting as a technical lead, workstream lead, or senior individual contributor.

Personal Attributes

• Strong sense of ownership with a delivery‑oriented and methodical approach
• Comfortable operating across business discussions and hands‑on technical work
• Clear and practical communicator able to bridge business, analytics and engineering
• Calm, dependable and constructive under delivery pressure
• Sound ethics and governance mindset suited to a regulated institution