Data Engineer - Business Intelligence & Dashboards
Posted Updated
Summary
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
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