Data Engineer – Business Intelligence & Dashboards

Tap Growth ai; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Data Engineer to design, build, and maintain data pipelines for BI solutions and dashboards. You will model data in Redshift/S3 and develop dashboards in Tableau with near real-time reporting for business units.

The role requires strong SQL, data modelling, and stakeholder collaboration to translate needs into technical requirements, with a preference for experience in AWS Glue and cloud data platforms.

Qualifications

• Minimum 3 years in data engineering, BI, or data analytics roles.
• Proficiency in SQL for data querying, transformation, and modelling.
• Hands-on experience with Tableau or other BI tools for dashboards.
• Experience with cloud data platforms (AWS Redshift, S3, AWS Glue).
• Strong communication to translate business needs into technical requirements.

Responsibilities

• Partner with business units to understand data and reporting needs and document data requirements, KPIs, and use cases.
• Design, build, and maintain data transformation logic and data models for reporting datasets.
• Develop, maintain, and optimize interactive dashboards and reports in Tableau (or BI tools).
• Document data definitions and dashboard logic in the data catalog and ensure data quality.
• Act as liaison between business stakeholders and the data platform team and iterate on dashboards based on feedback.

Skills

SQL

Dashboard development

Data modelling

Stakeholder engagement

Data pipeline design

Python

Tools

Tableau

Power BI

QuickSight

Amazon Redshift

AWS Glue

S3

Job description

We're Hiring: Data Engineer - Business Intelligence & Dashboards!

We are seeking a skilled and analytical Data Engineer to join our team in Singapore. The ideal candidate will have strong experience in designing, building, and maintaining data pipelines for business intelligence solutions and dashboards. If you thrive in transforming data into actionable insights and enjoy collaborating with cross-functional teams, this role is for you.

Location: Singapore, Singapore

Work Mode: Work from Office

Role: Data Engineer - Business Intelligence & Dashboards

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