POWER BI ENGINEER (Automation & Data Engineer)

We are looking for Automation & Data Engineer with good knowledge on Power BI for our Banking customer in Singapore for a 1-year contract. You will be based in Singapore.

Job Description & Requirements

Automation & Data Engineer (Power Platform)

Job Title : Automation & Data Engineer (Power BI / Power Automate / Database)

Role Overview

We are looking for a hands‑on Automation & Data Engineer to design, develop, and maintain solutions using Microsoft Power Platform, including Power BI, Power Automate, and e‑Form solutions. The role will also involve database design, development, and ongoing maintenance to support business automation and analytics initiatives. This role will work closely with finance and Risk Management users to deliver low‑code automation and data‑driven insights to improve operational efficiency.

Key Responsibilities

Power Platform Development

Develop and maintain workflows using Power Automate to automate business processes

Design and build dashboards and reports using Power BI

Create and maintain Microsoft e‑Forms / Power Apps forms for data capture and workflow integration

Integrate Power Platform solutions with enterprise systems and APIs

Database Design & Management

Design, develop, and maintain relational databases (e.g., SQL Server)

Ensure data integrity, performance optimization, and scalability

Develop data models to support reporting and analytics

Automation & Integration

Identify opportunities to automate manual processes (aligned with RPA / digital initiatives)

Integrate Power Automate with RPA tools, SharePoint, and enterprise systems

Support end‑to‑end automation solutions (data input → workflow → reporting)

Data & Reporting

Build interactive dashboards and visualizations in Power BI

Work with business stakeholders to define KPIs and reporting requirements

Ensure data quality and consistency across reports and systems

Support & Maintenance

Provide ongoing support for existing automation solutions and dashboards

Troubleshoot production issues and performance bottlenecks

Maintain documentation for developed solutions and data structures.

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