Find Cloud software engineer (python) & aws Jobs in Dublin, D

Data Analyst
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Annual leave
- Life insurance
Systems Engineer (Full Remote)
EXOGROUP —DUBLIN 18, County Dublin
- Full-time
- Spanish
- Computer Science
- English
- Relocation assistance
- Annual leave
Quick apply
Technical Services Engineer
MongoDB —Dublin, County Dublin
- Azure
- Java
- AWS
Scrum Master - PL Planning
Elwood Roberts —Dublin, County Dublin
- €55,000–€65,000 a month
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Technical Services Engineer - Partners
MongoDB —Dublin, County Dublin
- Azure
- Java
- AWS
5d
Senior Data Engineer
GridBeyond —DUBLIN 24, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
4d
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Systems Engineer, Managed Operations
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- DevOps
- English
- AWS
4d
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Site Reliability Engineer - Foundation Team
Global-e —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- Budgeting
Quick apply
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
13d
Principal DevOps Engineer - Decision Management Platform
Mastercard —Dublin, County Dublin
- Full-time
- DevOps
- Java
- AWS
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Site Reliability Engineer III (DSS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Oracle
- Java
11d
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Software Engineer
Fivetran —Dublin, County Dublin
- Full-time
- AWS
- Communication skills
- Python
- Annual leave
- Sick pay
Quick apply
2d
Lead Software Engineer - Financial Wellness
Gen Digital Inc. —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- Java
- AWS
Quick apply

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Data Analyst

iCIMS Talent Acquisition -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Benefits

Annual leave
Life insurance

Qualifications

iCIMS
Power BI
Data modelling
Azure
Computer Science
NumPy
Data analysis skills
Google Cloud Platform
Tableau
SQL
AWS
Bachelor's degree
SaaS
AI
Communication skills
Python

Full job description

Overview:

At iCIMS, we’re redefining how people connect with opportunity through intelligent, human-centered technology. Our Dublin AI Hub is the strategic center for innovation, where we’re building next-generation solutions powered by Generative AI (GenAI), Large Language Models (LLMs), agentic frameworks, and NLP-driven features.

As a Data Analyst, you’ll play a critical role in transforming raw data into actionable insights that guide AI development and product decisions. You’ll work closely with data scientists, engineers, and product teams to analyze performance metrics, monitor model behavior, and ensure data quality for advanced AI solutions. This role is ideal for someone who thrives at the intersection of analytics, AI innovation, and business impact.

This is a hybrid position based at Windmill Lane, Dublin 2, our strategic hub for AI development in Ireland.

About Us:

ICIMS is a leading enterprise hiring platform that combines the scale and reliability of enterprise software with the transformative power of AI. Thousands of organizations across more than 200 countries and territories trust ICIMS to find and hire the people who shape their future and drive their business forward. Powered by insights from billions of hiring interactions, continuous AI innovation, and a highly extensible platform, ICIMS helps organizations turn talent acquisition into a competitive advantage. For more than 25 years, ICIMS has delivered end-to-end hiring solutions that improve recruiting efficiency, reduce costs and create exceptional candidate experiences.

ICIMS helps solve one of the biggest challenges businesses face today: building a workforce that can adapt, scale, and perform in an increasingly competitive and unpredictable talent market. We uniquely do that by combining enterprise-grade hiring technology, AI-powered insights and automation, and connected talent experiences to help organizations improve hiring outcomes while driving measurable impact.

Responsibilities:

Analyze large, complex datasets to identify trends, anomalies, and opportunities for optimization in AI models and features.
Build dashboards and reports to monitor model performance, user engagement, and business KPIs.
Support data preparation and validation for ML/NLP model training, ensuring accuracy and completeness.
Collaborate with data scientists to design and implement evaluation metrics for LLMs, GenAI, and agentic frameworks.
Conduct statistical analysis and A/B testing to measure feature impact and guide product decisions.
Partner with engineering and product teams to ensure data integrity and governance across pipelines.
Document findings and communicate insights clearly to technical and non-technical stakeholders.

Qualifications:

Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field.
2+ years of experience in data analysis, preferably in AI/ML or SaaS environments.
Strong proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI, or similar).
Solid understanding of statistics, hypothesis testing, and experiment design.
Experience working with large datasets and cloud platforms (AWS, Azure, or GCP).
Familiarity with ML concepts and evaluation metrics is a plus.
Excellent communication skills and ability to translate data insights into business recommendations.

EEO Statement:

iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected].

Compensation and Benefits:

iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here: https://careers.icims.com/benefits

Apply Now

Refine Your Search

cloud software engineer (python) & aws jobs in dublin, d

Data Analyst

Systems Engineer (Full Remote)

Technical Services Engineer

Scrum Master - PL Planning

Technical Services Engineer - Partners

Senior Data Engineer

Staff Machine Learning Engineer

Systems Engineer, Managed Operations

AI Architect (R-18541)

Senior Engineer, Applied AI

Site Reliability Engineer - Foundation Team

Staff Machine Learning Engineer

Senior Data Engineer

Principal DevOps Engineer - Decision Management Platform

Sr. SDE, Amazon Email Services

Sr Machine Learning Engineer

Site Reliability Engineer III (DSS)

Senior AI Engineer

Senior Software Engineer

Lead Software Engineer - Financial Wellness

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