Data Engineer – Business Intelligence

Visa Hunt; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Visa Hunt is seeking a Data Engineer to bridge business needs with data and analytics solutions. You will engage stakeholders, design data models and develop reliable datasets to support data-driven decisions.

The role requires strong SQL and hands-on experience with Tableau, Power BI or AWS QuickSight, plus cloud data platform work (AWS Redshift, S3, AWS Glue). You will create dashboards, reports, and maintain data definitions across the business.

Qualifications

• 3+ years of experience in data engineering, BI or analytics.
• Strong SQL skills covering data querying, transformation and modelling.
• Hands-on experience developing dashboards using Tableau, Power BI or equivalent BI tools.
• Experience with cloud data platforms, preferably AWS, Amazon Redshift, S3 and AWS Glue.
• Experience in data modelling for analytics, including star schema or dimensional modelling.
• Strong stakeholder engagement and communication skills.
• Ability to translate business requirements into clear technical and data requirements.

Responsibilities

• Engage business stakeholders to understand data, reporting and KPI requirements.
• Translate business needs into technical data specifications.
• Develop data transformation logic and curated datasets for reporting and analytics.
• Build data models using AWS Redshift or cloud-based data platforms.
• Ensure data accuracy, consistency and quality through validation and controls.
• Design and develop interactive Tableau dashboards and reports.
• Build operational dashboards, ad-hoc analysis views and scheduled reports.
• Maintain data definitions, business glossary, dashboard logic and technical documentation.
• Support self-service analytics and enable business users to access and understand data effectively.

Skills

SQL

Stakeholder engagement

BI dashboards

Data modelling

Tools

Tableau

Power BI

Amazon QuickSight

AWS

Amazon Redshift

S3

AWS Glue

Job description

Role Overview

We are looking for a Data Engineer with strong business engagement and BI capabilities to bridge business requirements with data and analytics solutions. You will work closely with stakeholders to understand reporting needs, develop reliable datasets and build intuitive dashboards that support data-driven decision-making.

Key Responsibilities

• Engage business stakeholders to understand data, reporting and KPI requirements.
• Conduct requirements workshops and translate business needs into technical data specifications.
• Develop data transformation logic and curated datasets for reporting and analytics.
• Build and maintain data models using Amazon Redshift or cloud-based data platforms.
• Ensure data accuracy, consistency and quality through appropriate validation and controls.
• Design and develop interactive Tableau dashboards and reports.
• Build operational dashboards, ad-hoc analysis views and scheduled reports.
• Maintain data definitions, business glossary, dashboard logic and technical documentation.
• Support self-service analytics and enable business users to access and understand data effectively.

Requirements

• Minimum 3 years of experience in data engineering, business intelligence or data analytics.
• Strong SQL skills covering data querying, transformation and modelling.
• Hands-on experience developing dashboards using Tableau, Power BI, Amazon QuickSight or equivalent BI tools.
• Experience with cloud data platforms, preferably AWS, Amazon Redshift, S3 and AWS Glue.
• Experience in data modelling for analytics, including star schema or dimensional modelling.
• Strong stakeholder engagement and communication skills.
• Ability to translate business requirements into clear technical and data requirements.

Preferred

• Python experience for data transformation or automation.
• Experience with AWS Glue Data Catalogue or similar metadata management tools.
• Exposure to Salesforce or other SaaS data sources.
• Understanding of data governance and data quality principles.
• Experience in large-scale, government or public-sector data environments.

**We regret to inform that only shortlisted candidates would be notified**

EA License No: 04C3537

EA Personnel No: R22106683

EA Personnel Name: Yang Hui Shan, Sherri