Data Analytics

UNITED OVERSEAS BANK LIMITED; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

UNITED OVERSEAS BANK LIMITED seeks an experienced Data Platform/Analytics Engineer to lead end‑to‑end enterprise data platforms, including datamarts and analytics layers. You will collaborate with technology, analytics and governance teams to enable governed self‑service analytics and advanced use cases while ensuring scalable, well‑documented data foundations across regulated environments.

The role requires strong SQL, data modelling and ETL/ELT skills, with a track record in enterprise data

Formación

• 8–12+ years of experience in data engineering, data platform or analytics engineering roles.
• Hands‑on experience with enterprise‑scale data platforms or datamart implementations (EDW, Datamarts, Data Lakes).
• 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.

Responsabilidades

• Participate in the end‑to‑end build and evolution of enterprise‑scale GWB data platforms, including datamarts and analytics layers.
• Contribute to data modelling standards, transformation logic and reusable engineering patterns for scalability and performance.
• Collaborate with Data Analysts/Scientists, Business stakeholders and Governance teams to enable governed self‑service analytics and downstream use cases.
• Support analytics initiatives by ensuring reliable, well‑structured and well‑documented data foundations.
• Provide technical input on feasibility, dependencies, sequencing and implementation considerations.

Conocimientos

SQL

Data Modelling

ETL/ELT

Performance Optimisation

Stakeholder Collaboration

Herramientas

EDW

Datamarts

Data Lakes

Descripción del empleo

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.

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.

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.

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