Job OverviewAt 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 emerging to experienced professionals - to build the next generation of our Talent Cloud platform through scalable data pipelines, storage systems, and analytics infrastructure 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, working with software engineers, data scientists, and product experts in a culture that values innovation, ownership, and continuous learning.
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
Qualifications - Bachelor's degree in Computer Science , Engineering, Data Science, or related field (or equivalent professional experience)
- 2+ years of experience building 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)
- Experience with cloud platforms (AWS preferred) and data storage services (e.g., S3, Redshift)
- Experience with streaming platforms (e.g., 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), 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
EEO StatementiCIMS 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 .
Compensation and BenefitsCompetitive health and wellness benefits include medical insurance (employee and dependent family members), personal accident and group term life insurance, bonding and parental leave, lifestyle spending account reimbursements, wellness services offerings, sick and casual/emergency days, paid holidays, tuition reimbursement, retirals (PF - employer contribution) and gratuity. Benefits and eligibility may vary by location, role, and tenure. Learn more here:
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