Data Engineer

Senior Data Platform Engineer - Asset Management Equity Technology

Galway, Ireland | 12-Month Contract | €450 - €480 per day

We are seeking a highly skilled Senior Data Platform Engineer to join a dynamic delivery team within our Asset Management Technology group, supporting Equity Research. This is a high-impact role focused on building and evolving a financial data visualization and reporting platform used by senior analysts, portfolio managers, and executive leadership. You will take end-to-end ownership of a critical reporting engine-designing, developing, maintaining, and modernizing systems that sit at the core of investment decision-making.

What You'll Do

• Own and enhance a mission-critical financial reporting platform
• Design and implement data pipelines, transformation logic, and visualization tools
• Develop scripts and workflows to parse, process, and present financial data
• Partner closely with research analysts and business stakeholders to translate requirements into meaningful insights
• Maintain and modernize a Legacy Scripting ecosystem while ensuring stability and accuracy
• Implement CI/CD pipelines, monitoring, and automation to improve reliability and scalability
• Drive continuous improvement in data quality, performance, and usability

• 7+ years of experience in software development or data engineering
• Strong expertise in Linux systems (processes, networking, filesystem, cron, systemctl)
• Advanced Shell Scripting (bash, ksh, zsh)
• Professional experience with Python, Perl, or similar Scripting languages
• Solid understanding of data analysis, statistics, and data science concepts
• Strong SQL skills with experience in schema design and query optimization
• Experience with data visualization and charting tools
• Familiarity with Git, CI/CD pipelines, and automated deployments

• Experience modernizing Legacy systems or Scripting environments
• Knowledge of ETL pipelines, APIs, message queues, or workflow orchestration tools
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Python experience in data automation, APIs, or machine learning workflows
• Experience building internal tools or reusable libraries