Data Engineer (All Levels)

HR Tech Job; Dublin; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

Pension plan

Tuition reimbursement

Generous paid time off plans

Job summary

iCIMS is hiring Data Engineers at various experience levels to enhance our Talent Cloud platform from Dublin. You'll be instrumental in designing and optimizing data infrastructure that supports analytics and decision-making.

The ideal candidate will have a Bachelor's degree and experience in building large-scale data pipelines, proficient in Python and SQL, and familiar with cloud platforms like AWS. This role is hybrid, contributing to a culture that values innovation and collaboration.

Qualifications

• Experience building and maintaining large‑scale data pipelines and systems.
• Strong communication and collaboration skills across technical and non‑technical teams.
• Strong analytical and problem-solving skills with intellectual curiosity.

Responsibilities

• Design, develop, and maintain scalable data pipelines to collect, process, and store data.
• Build and optimise data infrastructure for analytics, reporting, and AI/ML workloads.
• Implement event sourcing and streaming architectures for autonomous agents.

Skills

Python

SQL

Data pipeline development

Cloud platforms (AWS preferred)

Event-driven architectures

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kafka

AWS Kinesis

PostgreSQL

MongoDB

Git

Job description

Job Overview

At iCIMS, we're redefining how people connect with opportunity through intelligent, human‑centred technology. We're growing rapidly and are seeking Data Engineers at multiple levels of experience—from early career to experienced professionals—to build the next generation of our Talent Cloud platform through scalable data pipelines, storage systems, and analytics solutions that power our data‑driven decision‑making and AI capabilities.

You'll design, build, and optimise data infrastructure that supports analytics, business intelligence, and product development. You'll collaborate with software engineers, data scientists, and product experts in a culture that values innovation, ownership, and continuous learning.

This is a hybrid position based in Dublin city centre, our strategic hub for AI development in Ireland.

Responsibilities

• Design, develop, and maintain scalable data pipelines to collect, process, and store data from multiple sources
• Build and optimise data infrastructure to support analytics, reporting, and AI/ML workloads
• Implement event sourcing and streaming architectures (e.g., Kafka, AWS Kinesis) for autonomous agents and reactive systems
• Apply security‑by‑design principles, data governance, and best practices to all data solutions, ensuring compliance with enterprise standards and regulatory requirements
• Collaborate with engineering, product, and business stakeholders to deliver reliable data solutions
• Troubleshoot and resolve data‑related issues whilst ensuring data quality and integrity
• Stay up to date with the latest industry trends and technologies to drive innovation within the team
• Contribute to best practices, frameworks, and tools for data engineering excellence
• For senior‑level candidates: mentor junior engineers and lead technical initiatives

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience)
• Experience building and maintaining large‑scale data pipelines and systems
• Proficiency in Python; familiarity with Java
• Strong SQL skills and experience with relational and non‑relational databases (e.g., SQL Server, PostgreSQL, MySQL, MongoDB)
• Hands‑on experience with cloud platforms (AWS preferred) and services like S3, Redshift, or BigQuery
• Experience with streaming platforms (Kafka, AWS Kinesis) and event‑driven architectures
• Understanding of data modelling, warehousing, and schema design principles
• Familiarity with data transformation tools (e.g., dbt), BI platforms (e.g., Looker, Tableau), and API development for data consumption
• Knowledge of version control (Git), CI/CD pipelines, and security principles for data systems (encryption, IAM, compliance frameworks)
• Experience with user behaviour tracking platforms (e.g., Snowplow, Google Analytics) is a plus
• Strong analytical and problem‑solving skills with intellectual curiosity
• Strong communication and collaboration skills across both technical and non‑technical teams
• For senior‑level candidates: demonstrated experience in mentoring, leading projects, or driving strategic data initiatives

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 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’d like to request an accommodation due to a disability, please contact us at [e-mail].

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