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
Required Skills & Experience
- 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
Nice to Have
- 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
