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Network Automation Engineer II

Astreya Consultancy Ireland Ltd · Dublin, Ireland

Software DevelopmentExternal listingfull-time5 days ago

About The Role

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, or DevOps
  • ● Strong proficiency in Python (scripting, API integrations, data manipulation)
  • ● 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

Salary Range

50,640.00 - 63,300.00 EUR (Annual)

  • Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.
  • Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.

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