Data Platform Engineer — Azure, Automation & Scale

北京汉克时代科技有限公司; Kuala Lumpur; On-site; MYR 90,000 - 140,000; Full time

Job summary

北京汉克时代科技有限公司 in Malaysia seeks a hands-on Data Platform Engineer to modernize a large-scale Azure-based data platform for a globally recognised football organisation. The role focuses on performance, automation, and scalable data processing across batch, streaming and event-driven workloads.

The ideal candidate has 3+ years in data platform engineering, strong Python/SQL skills and practical Azure, Snowflake or PostgreSQL experience.

Qualifications

• 3+ years of hands-on Data Platform Engineering or related role.
• Strong Python and SQL for automation and data processing.
• Hands-on Microsoft Azure experience across compute, storage, networking and identity.

Responsibilities

• Platform Performance & Scalability: optimize Azure, Snowflake and PostgreSQL workloads and analyze bottlenecks.
• Cloud Cost Optimization: identify cost drivers and tune resources for benefits without impacting performance.
• Engineering Standardization: develop reusable templates for ingestion, transformation and orchestration.
• CI/CD & Quality Automation: build/test and automate releases with traceability and rollback procedures.
• Infrastructure as Code: maintain Terraform modules and secure deployment credentials.
• Data Models & Processing Frameworks: enhance dbt models and processing pipelines for maintainability.
• Automation & Observability Engineering: automate tasks with Python/SQL and implement monitoring-as-code.
• Reliability & Controlled Change: prevent issues, support rollback validation and approved releases.
• Documentation & Collaboration: maintain design notes, runbooks and cross-team knowledge transfer.

Skills

Python

SQL

Azure

CI/CD

Terraform

dbt

Airflow

Snowflake

PostgreSQL

ETL/ELT

Git

Monitoring

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or related field

Tools

Azure DevOps

Job description

北京汉克时代科技有限公司 in Malaysia seeks a hands-on Data Platform Engineer to modernize a large-scale Azure-based data platform for a globally recognised football organisation. The role focuses on performance, automation, and scalable data processing across batch, streaming and event-driven workloads.

The ideal candidate has 3+ years in data platform engineering, strong Python/SQL skills and practical Azure, Snowflake or PostgreSQL experience.