Job Overview At iCIMS, we’re redefining how organizations connect with talent through intelligent, human-centered technology.

As a Senior Data Engineer, you’ll take ownership of designing and delivering complex, enterprise scale data solutions that power AI and analytics across our Talent Cloud platform.

You’ll architect resilient pipelines, optimize data infrastructure for performance and cost, and lead initiatives that enable real-time insights and machine learning at scale.

You’ll mentor engineers, influence technical direction, and collaborate with cross functional teams to solve strategic data challenges.

If you thrive in an environment where innovation meets impact, and you want to shape the future of AI driven talent technology, we’d love to hear from you.

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

You’ll work in a collaborative environment with flexibility to balance office and remote work.

About Us When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent.

Our customers do amazing things:

design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile.

As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent.

We’re passionate about helping companies build a diverse, winning workforce and about building our home team.

We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.

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 using platforms (e.g., Kafka, AWS Kinesis) for real-time data processing Apply data governance, security principles, and compliance frameworks to ensure data quality and regulatory adherence Collaborate with data scientists, software engineers, and product teams to deliver reliable data solutions Troubleshoot and resolve data-related issues whilst maintaining data quality and integrity Contribute to best practices, frameworks, and tools for data engineering excellence Drive improvements in data engineering practices and data architecture Mentor data engineers and provide technical leadership on projects Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience) 5+ years of relevant Data Engineering experience

Experience: mentoring engineers and leading technical projects Expertise in Python and SQL; familiarity with Java or Scala Deep experience with cloud platforms (AWS preferred) and streaming technologies Proven track record implementing data governance and security controls Strong understanding of data modelling, warehousing, and schema design principles

Experience: with data transformation tools (e.g., dbt), BI platforms (e.g., Looker), 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 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 careers@icims.com.

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
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 using platforms (e.g., Kafka, AWS Kinesis) for real-time data processing Apply data governance, security principles, and compliance frameworks to ensure data quality and regulatory adherence Collaborate with data scientists, software engineers, and product teams to deliver reliable data solutions Troubleshoot and resolve data-related issues whilst maintaining data quality and integrity Contribute to best practices, frameworks, and tools for data engineering excellence Drive improvements in data engineering practices and data architecture Mentor data engineers and provide technical leadership on projects
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience) 5+ years of relevant Data Engineering experience

Experience: mentoring engineers and leading technical projects Expertise in Python and SQL; familiarity with Java or Scala Deep experience with cloud platforms (AWS preferred) and streaming technologies Proven track record implementing data governance and security controls Strong understanding of data modelling, warehousing, and schema design principles

Experience: with data transformation tools (e.g., dbt), BI platforms (e.g., Looker), 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