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Automation Engineer

Posted 4 days 21 hours ago by Morgan McKinley

Permanent
Full Time
Other
Cork, Ireland
Job Description
Role Overview

We are seeking an Automation Engineer to design, build, and deploy end-to-end automation and digital transformation solutions within our global finance and business operations. Working across a modern full-stack ecosystem, you will partner closely with business analysts and technology teams to automate complex processes, integrate enterprise systems, and leverage emerging AI capabilities.

Key Responsibilities
  • Solution Delivery: Design, configure, and deploy scalable full-stack automation solutions following team standards and architecture best practices.

  • Business Collaboration: Partner with analysts and business stakeholders to evaluate opportunities, assess technical feasibility, and present findings.

  • System Integration: Build seamless integrations between core web applications, cloud infrastructure, enterprise APIs, and data platforms.

  • Testing & Quality Assurance: Create test scenarios, support User Acceptance Testing (UAT), and participate in error resolution and defect tracking.

  • Operational Support: Assist operational teams in troubleshooting and resolving issues within production automation processes.

Must-Have Requirements
  • Experience: 5+ years of software development and programming experience.

  • Frontend: React / Next.js and TypeScript.

  • Backend & Data: Python, PySpark, and PostgreSQL.

  • Cloud & Architecture: Hands-on experience with AWS and RESTful API integrations.

  • Education: Bachelor's degree in Computer Science, Management Information Systems, or a related technical field.

Preferred Qualifications
  • Domain experience in Finance or Supply Chain business operations.

  • Exposure to Microsoft Fabric (PySpark notebooks, Delta Lake) or SAP API integrations.

  • Hands-on experience with Docker, Kubernetes, and Microservices architecture.

  • Familiarity with Generative AI / LLM platform integrations and OCR technologies.

  • Knowledge of statistical concepts and data-quality checks (e.g., anomaly detection).

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