Automation Engineer II

Astreya; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Astreya in Kuala Lumpur, Malaysia, is seeking an Automation Engineer to build automation workflows and data pipelines for a centralized partner data platform. The role focuses on onboarding, data lifecycle, and automated incident response, leveraging Python and APIs.

The ideal candidate will have 3+ years in automation/data engineering, strong Python, API, and SQL skills, plus experience with ETL and scheduling tools. Hybrid collaboration across teams is expected.

Qualifications

• 3+ years experience in automation engineering and data engineering.
• Strong proficiency in Python.
• Experience building and consuming APIs (REST/GraphQL).
• Familiarity with SQL and data pipeline/ETL concepts.
• Experience with job scheduling and orchestration tools (Airflow, cron).
• Understanding of data quality principles (validation, deduplication, reconciliation).
• Comfortable working with large datasets across multiple source systems.
• Strong problem-solving skills and ability to work independently.

Responsibilities

• Build Workflow Automation: design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management.
• Develop Data Pipelines & Integrations: build ETL pipelines that synchronize partner data across internal systems and migrate legacy data.
• Automate Operational Processes: create tools to auto-retrieve relevant partner contacts during incidents and automate escalation workflows.
• Monitor & Report: build dashboards and automated health checks to track data quality and ROI on automation.

Skills

Automation engineering

Data engineering

Python

APIs (REST/GraphQL)

SQL

ETL concepts

Data quality

Large datasets

Tools

Airflow

Cron

GraphQL

Job description

Job Description

Automation Engineer — Network Partner Data Platform

About the Role

Client’s global network infrastructure relies on thousands of external partners — internet

service providers (ISPs), colocation facilities, hardware vendors, and managed service

providers. We’re building a centralized platform to manage all of these relationships,

contacts, and service data in one place.

What You’ll Do

Build Workflow Automation

• Design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management
• Create self-service tools that allow operations teams to perform bulk data operations without needing engineering support
• Build automated alerting for stale data, missing information, or expiring service agreements

Develop Data Pipelines & Integrations

• Build ETL pipelines that synchronize partner data across multiple internal systems
• Automate the migration of legacy data from spreadsheets, wikis, and siloed databases into the centralized platform
• Develop reconciliation scripts to detect discrepancies between systems and maintain data consistency

Automate Operational Processes

• Build tools that auto-retrieve relevant partner contacts during network incidents, reducing response time
• Create automated escalation and outreach workflows triggered by network events
• Develop runbook automation to standardize and speed up repetitive operational tasks

Monitor & Report

• Build dashboards tracking data quality, freshness, and platform adoption
• Implement automated health checks and audit scripts to detect duplicates, orphaned records, or incomplete entries
• Create scheduled reports for leadership on automation ROI and data integrity metrics

What We’re Looking For

Required:

• 3+ years experience in automation engineering, data engineering
• Strong proficiency in Python
• Experience building and consuming APIs (REST and/or GraphQL)
• Familiarity with SQL and data pipeline/ETL concepts
• Experience with job scheduling and orchestration tools (Airflow, cron, or similar)
• Understanding of data quality principles (validation, deduplication, reconciliation)
• Comfortable working with large datasets across multiple source systems
• Strong problem-solving skills and ability to work independently

Preferred:

• Experience with PHP or Hack (server-side scripting)
• Familiarity with graph databases or relationship/entity management systems
• Experience with CRM, MDM (Master Data Management), or vendor management
• platforms
• Understanding of network infrastructure concepts (ISPs, peering, colocation, Points of Presence)
• Experience with Thrift or similar RPC frameworks
• Background in telecom, network operations, or infrastructure services
• Experience automating processes in a large-scale enterprise environment

Tech Stack

Area Technologies

Scripting & Automation Python, PHP/Hack, Bash

APIs GraphQL, REST, Thrift (RPC)

Data & Pipelines SQL, Hive/Presto (data warehouse), ETL tooling

Monitoring & Dashboards Time-series metrics, log analytics, custom dashboards

Orchestration Scheduled jobs, event-driven triggers