Automation Engineer

Astreya; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Astreya is seeking an Automation Engineer to design and implement scalable automation, data pipelines, and partner-management workflows. The role blends on-site work in Dublin (D04) with remote days, supporting a global network of ISPs, vendors, and service partners.

You will build automated workflows for onboarding, data updates, service renewals, data migration, and incident response. Expect ETL pipelines, API integrations, and reconciliation scripts to maintain data integrity.

Qualifications

• 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.

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 multiple internal systems
• Automate Operational Processes: Build tools that auto-retrieve relevant partner contacts during network incidents and automate escalation workflows
• Monitor & Report: Build dashboards tracking data quality, freshness, and platform adoption

Skills

Python

APIs REST/GraphQL

SQL & ETL

Airflow

Data quality

Problem solving

Independence

Job description

Ideally hybrid work, mix of on site in Dublin D04, and work from home.

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 integrity
• 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

Area Technologies

• Scripting & Automation: Python, PHP/Hack, Bash
• Data & Pipelines: SQL, Hive/Presto (data warehouse), ETL tooling
• Monitoring & Dashboards: Time‑series metrics, log analytics, custom
• Orchestration: Scheduled jobs, event‑driven triggers