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Open nowPosted 28 days ago

Data Engineer (Business Intelligence & Dashboards) - KT

MyCareersFuture94,028 open roles

Pay
SGD 5,000 – SGD 8,000 a month
Where
Singapore
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Your applicationOpen nowData Engineer (Business Intelligence & Dashboards) - KTMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 28 days ago

The posting

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 Working Location : Central **We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**
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