Data Engineer: Cloud & MLOps (Python/AWS)

Liberty Information Technology Limited; Galway; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Health insurance

Annual bonus

Pension

Hybrid work culture

Learning & development

Job summary

Liberty Information Technology Limited is seeking a data/software engineer to join our Liberty IT team in Ireland. You’ll work with Python, SQL and AWS to build data foundations powering pricing and modelling decisions and collaborate across data engineering, MLOps and software engineering disciplines.

The role emphasizes modern cloud data engineering, learning from experienced engineers and growing data products in a supportive environment. A hybrid in-office/remote setup applies.

Qualifications

• Experience delivering software using Python, SQL and AWS.
• Bachelor's degree in Software Engineering or STEM with 1 year post-graduate software development experience, or 3 years in industry.
• Experience in agile software delivery (Scrum, Kanban, XP, etc.).
• Knowledge and experience of continuous improvement in the Software Development Life Cycle (SDLC).
• Experience in technical communication with peers and non-technical stakeholders.

Responsibilities

• Write clean code in line with the team’s set standards.
• Own, scope and deliver well defined tasks or stories and communicate progress.
• Collaborate closely with technical and non-technical teams to maximise customer value.
• Contribute to code quality with automated, unit and integration tests; apply security practices.
• Participate in deployment and CI/CD pipelines; review pull requests.

Skills

Python

SQL

AWS

Agile delivery

SDLC knowledge

Technical communication

Education

Bachelor's degree in Software Engineering

Tools

Snowflake

Job description

Liberty Information Technology Limited is seeking a data/software engineer to join our Liberty IT team in Ireland. You’ll work with Python, SQL and AWS to build data foundations powering pricing and modelling decisions and collaborate across data engineering, MLOps and software engineering disciplines.

The role emphasizes modern cloud data engineering, learning from experienced engineers and growing data products in a supportive environment. A hybrid in-office/remote setup applies.