Data Engineer, Galway

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

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

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