Global DataOps Engineer: Cloud Pipelines & CI/CD

EFG International; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

EFG International is looking for a Data Ops Engineer in Singapore. This role is essential for operational ownership of data pipelines and services during Asian hours. Key responsibilities include designing, implementing, and optimizing data pipelines, and applying CI/CD practices. Ideal candidates will have strong experience in SQL, Python, and data engineering roles, along with a solid understanding of CI/CD practices and cloud data platforms like Azure. Join us to enhance our data operations environment and support mission-critical data workflows.

Qualifications

• Experience in data engineering and data operations roles.
• Proven hands-on experience with SQL, Python, PySpark, and Databricks.
• Knowledge of micro-services architecture, API management, and observability is highly desirable.
• Solid understanding of CI/CD platforms and processes.
• Familiarity with database design.

Responsibilities

• Take operational ownership of specific data services.
• Design, implement, and optimize data pipelines in batch and streaming mode.
• Collaborate with cross-functional teams to review governance.
• Maintain high standards of data quality, reliability and performance.

Skills

SQL

Python

Data Engineering

CI/CD

PySpark

Databricks

Micro-services Architecture

Azure DevOps

GitLab CI

GitHub Actions

Tools

Azure Cloud Platform

Job description

EFG International is looking for a Data Ops Engineer in Singapore. This role is essential for operational ownership of data pipelines and services during Asian hours. Key responsibilities include designing, implementing, and optimizing data pipelines, and applying CI/CD practices. Ideal candidates will have strong experience in SQL, Python, and data engineering roles, along with a solid understanding of CI/CD practices and cloud data platforms like Azure. Join us to enhance our data operations environment and support mission-critical data workflows.