Senior BI & Visualization Engineer - Qlik Sense + AWS

OLLION PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OLLION PTE. LTD. in Singapore is seeking a Senior Data Engineer specializing in BI and visualization with hands-on Qlik Sense and AWS-native data platforms. You will bridge raw data to business value—delivering dashboards, reporting solutions, and efficient data pipelines.

You will design dashboards, collaborate with stakeholders, manage data models, implement governance and access controls, optimize performance, and mentor team members on BI and cloud data engineering.

Qualifications

• 4+ years hands-on Qlik Sense experience.
• 3+ years AWS-native data services experience.
• Strong SQL and data modeling skills.
• Ability to translate business requirements into BI solutions.
• Experience implementing role-based access, metadata management, and data security controls.

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 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.
• Support UAT, rollout, and adoption of BI solutions within the organization.
• Provide technical mentorship to team members on BI and cloud data engineering

Skills

Qlik Sense

BI design

SQL

Data visualization

Communication

Tools

AWS Glue

Amazon Redshift

Amazon Athena

Amazon S3

Job description

OLLION PTE. LTD. in Singapore is seeking a Senior Data Engineer specializing in BI and visualization with hands-on Qlik Sense and AWS-native data platforms. You will bridge raw data to business value—delivering dashboards, reporting solutions, and efficient data pipelines.

You will design dashboards, collaborate with stakeholders, manage data models, implement governance and access controls, optimize performance, and mentor team members on BI and cloud data engineering.