This role is critical to CUBE's data and AI strategy, focusing on transforming unstructured regulatory content into organized, governed, and AI-ready data assets
Job Summary
This role is critical to CUBE's data and AI strategy, focusing on transforming unstructured regulatory content into organized, governed, and AI-ready data assets.
You will build, develop, and lead a multidisciplinary team of data engineers, data architects, and infrastructure engineers while fostering a culture of technical excellence.
CUBE is a fast-paced, high-performing RegTech business that achieved over 50% growth in 2024 and operates with over 700 employees across 19 countries.
Matching Summary
This role is critical to CUBE's data and AI strategy, focusing on transforming unstructured regulatory content into organized, governed, and AI-ready data assets.
Skills & Requirements
Must-have
Microsoft Azure Data Factory expertise
Azure Synapse Analytics experience
Data Lake Storage architecture skills
Leading data engineering teams
AI/ML pipeline development
Data governance framework implementation
Python SQL Spark proficiency
Nice-to-have
Azure Fabric platform knowledge
Terraform infrastructure as code
CI/CD pipeline automation
Unstructured data ingestion patterns
Agile backlog management
Commercial awareness in tech
Inclusive team culture building
Key Requirements
Significant experience as Head of Data Engineering or Lead Data Platform Engineer
Proven track record delivering modern data platforms at scale in B2B SaaS
Deep expertise in Microsoft Azure data services including Synapse and Fabric
Hands-on knowledge of data governance frameworks and compliance requirements
Experience leading and developing engineering organizations