Data Engineer

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

Job summary

Rapsys Technologies Pte Ltd. in Singapore is hiring a Data Engineer to design and maintain reliable data pipelines, optimize data flows, and deliver actionable insights across teams.

The role requires hands-on experience with SQL, data transformation tools, and BI dashboards. You will collaborate with analysts to produce clean, trustworthy datasets and scalable analytics platforms.

Qualifications

• 3+ years experience in data engineering, analytics engineering, or BI development.
• Strong proficiency in SQL and data transformation frameworks.
• Experience building dashboards and visualizations with BI tools.

Responsibilities

• Design, build, and maintain reliable data pipelines.
• Develop ETL processes to collect and transform large datasets.
• Collaborate with analysts and stakeholders to deliver actionable insights.
• Optimize database performance and ensure data integrity.
• Integrate data from multiple sources for unified analytics.

Skills

SQL

Data pipelines

Data modeling

Tools

dbt

Apache Spark

Power BI

Tableau

Grafana

Superset

Job description

We're Hiring: Data Engineer!

We're looking for a skilled and motivated Data Engineer to join our growing team in Singapore. The ideal candidate will have at least 3 years of experience working with data pipelines, databases, and analytics platforms. If you are passionate about building scalable data solutions and driving business insights, we want to hear from you!

Location

Singapore, Singapore

Work Mode

Work from Office

Role

Data Engineer

What You'll Do:

• Design, build, and maintain reliable data pipelines
• Develop ETL processes to collect and transform large datasets
• Collaborate with analysts and stakeholders to deliver actionable insights
• Optimize database performance and ensure data integrity
• Integrate data from multiple sources for unified analytics

What We're Looking For:

• Minimum 3 years of experience in data engineering, analytics engineering, or business intelligence development
• Strong proficiency in SQL and experience with data transformation frameworks (e.g., dbt, Apache Spark, or equivalent)
• Hands-on experience building dashboards and visualizations with BI tools (e.g., Power BI, Tableau, Grafana, Superset, or platform‑native tooling)
• Experience designing data models for operational or analytical use cases star schemas, entity resolution, or graph-based asset relationships
• Ability to work with messy, heterogeneous data from multiple sources and produce clean, reliable outputs
• Understanding of data quality practices including validation, deduplication, lineage, and monitoring