Job Description
We're looking for a Senior Data Engineer who specializes in business intelligence and data visualization, with strong hands-on experience in Qlik Sense and AWS-native data platforms. This role is ideal for someone who can bridge the gap between raw data and business value-delivering insightful dashboards, reporting solutions, and efficient data pipelines.

Key Responsibilities:

Design and develop interactive dashboards and reports in Qlik Sense to support data-driven decisions.
Collaborate with business stakeholders to gather, refine, and translate BI/reporting requirements into technical solutions.
Build and manage data pipelines using AWS services (Glue, S3, Redshift, Athena) to support reporting needs.
Design data models and curated datasets optimized for self-service analytics and visualization.
Drive data storytelling through insightful visualization, KPIs, and business metrics.
Implement data governance, access controls, and quality checks across the BI ecosystem.
Optimize dashboard performance and usability for executives and business teams.
Experience managing the Qlik Sense server environment, including installation, configuration, optimisation.
Set up and manage security rules, access control, and user roles.
Troubleshoot and resolve issues related to dashboard performance, access, or data connectivity
Support UAT, rollout, and adoption of BI solutions within the organization.
Provide technical mentorship to team members on best practices in BI and cloud data engineering

Qualifications
Required Skills and Experience

4+ years of hands-on experience with Qlik Sense (scripting, expressions, dashboard design).
3+ years of experience with AWS-native data services (Glue, Redshift, Athena, S3).
Strong understanding of data visualization principles, BI design standards, and user experience.
Solid SQL skills and experience with data modeling (dimensional, star/snowflake).
Proven ability to work closely with business users and translate their needs into BI solutions.
Experience implementing role-based access, metadata management, and data security controls.
Excellent communication and presentation skills.

Preferred Qualifications:

Familiarity with data cataloging tools like AWS Glue Data Catalog or Alation.
Experience with other BI tools like Tableau or Power BI (nice to have).
Exposure to working with Singapore Public Sector

Senior Data Analyst BI & Visualization Specialist