Data Engineer – AWS ,BI Dashboards, Tableau, BI tools (Power BI,QuickSight
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Summary
A Singapore-based (office) Data Engineer role bridging business stakeholders and the data platform team: gathering reporting requirements, building data models and transformations in Amazon Redshift/S3, and developing Tableau, Power BI, or QuickSight dashboards on AWS with data quality checks and cataloguing via AWS Glue.
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
- Partner with business units across the organization to understand their dataand reporting needs
- Facilitate requirements workshops and interviews to document datarequirements, KPIs, and reporting use cases
- Translate business requirements into clear data specifications for the dataengineering team
- Act as the primary liaison between business stakeholders and the technicaldata platform team
Data Transformation & Modelling
- Design and develop data transformation logic to prepare curated datasets forreporting and analytics consumption
- Build and maintain data models in Amazon Redshift or the curated/consumptionzone of the Data Lake
- Ensure data accuracy, consistency, and completeness for all reportingdatasets
- Apply data quality checks and validation rules to support trustworthybusiness 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, andscheduled 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 businessrequirements
Data Catalogue & Documentation
- Document data definitions, business glossary terms, and dashboard logic inthe AWS Glue Data Catalogue
- Maintain clear documentation of data sources, transformation logic, andreport specifications
- Support self-service analytics by enabling business users to discover andaccess 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 — AmazonRedshift, S3, AWS Glue)
- Strong stakeholder engagement and communication skills, with the ability totranslate business needs into technical requirements
- Experience in data modelling for analytics (star schema, dimensionalmodelling)
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