Data Engineer

3 weeks ago

Dublin, Ireland Vista Equity Partners Management, LLC Full time

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

We're hiring at all experience levels and will match responsibilities to your background.

- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience)
- Experience building andmaintaininglarge-scale data pipelines and systems
- Proficiencyin 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, orBigQuery
- 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 communicationand collaboration skills across both technical and non-technical teams
- For senior-level candidates:demonstratedexperience in mentoring, leading projects, or driving strategic data initiatives

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