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