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Senior Data Engineer

• Posted 4 days ago • Updated 7 hours ago

Full Time

Fitment

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Job Details

Skills

iCIMS
Decision-making
Product Development
Innovation
Analytics
Reporting
Artificial Intelligence
Machine Learning (ML)
Sourcing
Real-time
Data Processing
Data Governance
Data Quality
Data Engineering
Data Architecture
IT Management
Computer Science
Data Science
Python
Java
SQL
Relational Databases
Microsoft SQL Server
PostgreSQL
MySQL
MongoDB
Cloud Computing
Data Storage
Amazon S3
Amazon Redshift
Streaming
Apache Kafka
Amazon Web Services
Amazon Kinesis
Data Modeling
Warehouse
Business Intelligence
API
Version Control
Git
Continuous Integration
Continuous Delivery
Encryption
Regulatory Compliance
Google Analytics
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Collaboration
Mentorship

Summary

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 experienced to highly 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 and providing technical leadership on projects in a culture that values innovation, ownership, and continuous learning.

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, Data Science, or related field (or equivalent professional experience)
4+ 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
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
Strong analytical and problem-solving skills with intellectual curiosity
Strong communication and collaboration skills across both technical and non-technical teams
Demonstrated experience in mentoring engineers, leading technical projects, or driving architectural decisions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10526121
Position Id: 6455
Posted 4 days ago

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