Project Leader/Manager responsible for end - to - end project contributions at a technology company. Managing documentation, deployments, and collaborating across technical and functional teams.
About the role
- Lead the design, delivery, and operation of CUBE's data platform. Empowering regulatory compliance solutions using AI with excellent technical leadership.
Responsibilities
- Lead the design, delivery, and operation of CUBE's modern data platform.
- Build and scale a high-performing Azure-based data platform.
- Own the technical vision, roadmap, and delivery of data engineering capabilities.
- Establish and enforce data governance frameworks.
- Build platform capabilities to support complex analytical queries and AI model training.
- Collaborate with Data & AI Engineering leadership, product teams, and architects.
- Drive technical delivery through agile practices, managing backlogs and releases.
- Champion engineering best practices including CI/CD, infrastructure as code, automated testing.
- Optimise platform performance, cost efficiency, and reliability.
- Build, develop, and mentor a high-performing team.
- Stay abreast of emerging technologies and Azure platform capabilities.
Requirements
- Significant experience as a Head of Data Engineering, Lead Data Platform Engineer, or equivalent.
- Proven track record of designing and delivering modern data platforms at scale in B2B SaaS or enterprise environments.
- Deep expertise in Microsoft Azure data services including Azure Data Factory, Synapse Analytics, Data Lake Storage, and Fabric.
- Strong understanding of data architecture patterns for ingesting, transforming, and governing unstructured and semi-structured data.
- Experience building data platforms that support AI/ML workloads, including feature engineering, model training pipelines, and inference infrastructure.
- Hands-on knowledge of data governance frameworks, including data quality, lineage, cataloguing, and compliance requirements.
- Proficiency in modern data engineering tools and practices including Python, SQL, Spark, Terraform, and CI/CD pipelines.
- Experience leading and developing engineering teams, with demonstrated ability to recruit, mentor, and build high-performing technical organisations.
- Strong understanding of agile delivery practices, backlog management, and technical project execution.
- Excellent communication skills to articulate complex technical concepts to non-technical stakeholders and influence executive decision-making.
Benefits
- CUBE is a globally recognized brand at the forefront of Regulatory Technology.
- Trusted by the world’s top financial institutions globally.
- 50% growth in 2024, through strategic acquisitions.
- Fast-paced, high-performing team.
- “Make it happen” culture for personal and professional development.
- Operate as one team with a shared mission to transform regulatory compliance.
- Diversity, collaboration, and purpose at the heart of success.
- Work alongside brilliant minds in AI research and engineering.
- Opportunity to develop impactful solutions in regulatory compliance.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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