Senior Data Engineer: Build Scalable Data Platforms

jobster private ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Jobster Private Ltd. in Singapore is seeking a data engineer to design, build, and operate scalable data architectures and pipelines across diverse source systems.

You will work with teams to develop data models, ensure data quality, and improve reliability, security, and performance of big data platforms. The role emphasizes modern engineering practices, CI/CD, and collaboration with data scientists, analysts, and product managers.

Qualifications

• Strong software engineering fundamentals with Python and SQL.
• Experience in enterprise data architecture and engineering.
• Experience designing data pipelines and data models.
• Familiarity with data warehouses, data lakes and lake house concepts.
• Experience with cloud platforms (AWS) and modern data platforms.
• Knowledge of data orchestration and modeling tools.
• Strong production engineering practices including testing, CI/CD, monitoring.

Responsibilities

• Design, build and operate scalable data architectures and pipelines for ingesting, transforming and serving data.
• Develop robust data models and reusable data capabilities for applications, analysts, data scientists.
• Apply architectural practices to improve reliability, security, observability, performance.
• Evaluate technologies and contribute to standards evolution.
• Champion modern software engineering practices and mentor the team.
• Work cross-functionally with engineers, PMs, data scientists and analysts, providing technical leadership.

Skills

Python

SQL

Data architectures

Data modeling

Cloud platforms

Data warehouses/lakes

Data orchestration

Production engineering

Code quality/CI/CD

Tools

Airflow

dbt

Spark

Redshift/Snowflake/BigQuery

AWS

Job description

Jobster Private Ltd. in Singapore is seeking a data engineer to design, build, and operate scalable data architectures and pipelines across diverse source systems.

You will work with teams to develop data models, ensure data quality, and improve reliability, security, and performance of big data platforms. The role emphasizes modern engineering practices, CI/CD, and collaboration with data scientists, analysts, and product managers.