Network Automation Engineer II

Jobtailor; Dublin; On-site; EUR 70,000 - 90,000; Full time

Job summary

Jobtailor is seeking an experienced automation/data engineer to design and implement automated workflows, ETL pipelines, and data lifecycle processes across multiple systems.

You will build self-service tools, alerting, reconciliation scripts, and dashboards, using Python, REST/GraphQL APIs, and scheduling tools to improve data quality and ops efficiency.

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

Responsibilities

• 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

Skills

Python

APIs (REST/GraphQL)

SQL

ETL concepts

Airflow

Cron

Data quality

Large datasets

Independence

Problem solving

Tools

Airflow

Cron

REST

GraphQL

Job description

Responsibilities

• 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

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

Core Competencies

Demonstrates expertise in automation engineering and data engineering, with a strong focus on building automated workflows, ETL pipelines, and data quality management. Proficient in Python and API integrations, with experience in large‑scale enterprise environments.