Data Engineer – Business Intelligence & Dashboards

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Rapsys Technologies Pte Ltd in Singapore is seeking a Data Engineer focused on Business Intelligence and dashboards to turn raw data into actionable insights for diverse business units. You will design data pipelines, model data in AWS Redshift, build interactive dashboards in Tableau, collaborate with stakeholders, and document data definitions for self-service analytics.

Join a team that values data-driven decision making and provides opportunities to work across multiple business domains and

Qualifications

• 3+ years of experience in data engineering or BI roles.
• Proficiency in SQL for data querying, transformation and modelling.
• Hands-on experience with Tableau or Power BI for dashboard development.
• Experience with cloud data platforms (AWS Redshift, S3, Glue).
• Strong stakeholder engagement and communication skills.
• Experience in data modelling for analytics (star schema, dimensional modelling).

Responsibilities

• Requirements gathering with business units, documenting data needs, KPIs, and use cases.
• Design and develop data transformation logic and data models for BI datasets.
• Develop interactive dashboards and reports in Tableau or Power BI.
• Collaborate with data platform teams and ensure data quality and governance.
• Document data definitions and maintain data lineage in the data catalog.

Skills

SQL

Data Modeling

BI Dashboards

AWS Redshift

Stakeholder Engagement

Data Quality

Education

Bachelor's degree in Computer Science / Information Systems or related field

Tools

Tableau

Power BI

AWS

Redshift

AWS Glue

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