Singapore-based (office) Data Engineer who gathers business reporting requirements, builds transformation logic and dimensional data models on AWS (Redshift, S3, Glue), and develops Tableau/Power BI/QuickSight dashboards while maintaining documentation and data quality for self-service analytics.
We're Hiring: Data Engineer – AWS, BI Dashboards, Tableau, BI Tools (Power BI, QuickSight)!
Join our dynamic team in Singapore as a Data Engineer to drive impactful data solutions and business intelligence initiatives. If you have a passion for building robust data pipelines and designing insightful dashboards using AWS and leading BI tools, we want to hear from you!
Location:
Singapore, Singapore
Work Mode:
Work from Office
Role:
Data Engineer – AWS, BI Dashboards, Tableau, BI Tools (Power BI, QuickSight)
What You'll Do:
Key Responsibilities
Requirements Gathering & Stakeholder Engagement
• Partner with business units across the organization to understand their data and reporting needs
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases
• Translate business requirements into clear data specifications for the data engineering team
• Act as the primary liaison between business stakeholders and the technical data platform team
Data Transformation & Modelling
• Design and develop data transformation logic to prepare curated datasets for reporting and analytics consumption
• Build and maintain data models in Amazon Redshift or the curated/consumption zone of the Data Lake
• Ensure data accuracy, consistency, and completeness for all reporting datasets
• Apply data quality checks and validation rules to support trustworthy business insights
Dashboard & Visualisation Development
• Design, develop, and maintain interactive dashboards and reports in Tableau (connected via Amazon Redshift or S3)
• Create near-real-time operational dashboards, ad-hoc analysis views, and scheduled reports tailored to business unit needs
• Ensure dashboards are intuitive and accessible for non-technical end users
• Iterate on dashboard designs based on user feedback and evolving business requirements
Data Catalogue & Documentation
• Document data definitions, business glossary terms, and dashboard logic in the AWS Glue Data Catalogue
• Maintain clear documentation of data sources, transformation logic, and report specifications
• Support self-service analytics by enabling business users to discover and access data independently
Requirements
Essential
• Minimum 3 years of experience in a data engineering, business intelligence, or data analyst role
• Proficiency in SQL for data querying, transformation, and modelling
• Hands-on experience with Tableau or equivalent BI tools (Power BI, QuickSight) for dashboard development
• Experience working with cloud data platforms (AWS preferred — Amazon Redshift, S3, AWS Glue)
• Strong stakeholder engagement and communication skills, with the ability to translate business needs into technical requirements
• Experience in data modelling for analytics (star schema, dimensional modelling)
Preferred
• Familiarity with Python for data transformation and automation
• Experience with AWS Glue Data Catalogue or similar metadata management tools
• Exposure to Salesforce or other SaaS data sources
• Prior experience working in a government, or public sector environment
• Understanding of data governance and data quality principles
If you're ready to make an impact through innovative data solutions—apply now!