A data engineer role in Singapore focused on business intelligence: gathering reporting requirements from business units, building curated datasets and data models in Amazon Redshift/S3, and developing Tableau dashboards. Core stack is SQL, Tableau and AWS (Redshift, S3, Glue), with Python a plus.
We are seeking for an experience Data Engineer with below requirement:
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, Quick Sight) 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 are interested, please apply to the job post orcontact me at (HIDDEN TEXT)
Regrettably, only shortlisted candidates will benotified.
Business Registration Number: 200611680D|Licence Number: 10C5117 |EA Registration Number: R21102013