Automation Engineer II
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What you'll do
- 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
- 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
- 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
- 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 they're looking for
- 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
Nice to have
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
Company
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