Data Engineer – Python ETL & API Integration

About the role

Our Dublin‑based client is seeking a Data Engineer to own and evolve their data pipelines. You will work on Python‑driven ETL processes, integrate systems via REST APIs, and support automation initiatives in a fast‑moving environment.

Key responsibilities

• Own and maintain Python‑based ETL pipelines and data workflows, ensuring reliability and continuous improvement.
• Write and manage Python scripts for data ingestion, transformation, and automation.
• Monitor pipeline health, handle failures, rerun processes, and guarantee data consistency.
• Integrate internal and external systems using REST APIs.
• Troubleshoot data and pipeline issues, identifying root causes and implementing fixes.
• Document processes for both technical and non‑technical audiences.
• Identify automation opportunities with Power Automate, Power Apps, and N8N.
• Collaborate with stakeholders to gather requirements and deliver practical solutions.

Required profile

• Minimum 2 years of hands‑on Python development experience.
• Strong background in building and maintaining ETL pipelines.
• Solid understanding of REST API integration in production environments.
• Experience handling errors, rerunning processes, and keeping pipelines stable.
• Degree in Computer Science, Data Engineering, Data Science, or a related field.

Required skills

• Python
• REST APIs
• ETL pipelines
• Power Automate
• Power Apps
• N8N
• ERP system integration
• SQL (nice to have)
• Azure (or other cloud platforms)
• Snowflake (or other data warehouses)
• GitHub and version control