We're hiring an Engineering Manager to lead delivery of a data platform and analytics programme, owning end-to-end execution across Snowflake, dbt, and GitHub-based engineering workflows for a major financial services organisation.
What you'll do
- Own end-to-end delivery of data and analytics programmes, aligned to business goals, timelines, and quality standards
- Manage complex technical dependencies across Snowflake, dbt, and GitHub-based development workflows
- Oversee dbt project delivery, testing strategy, and deployment governance
- Define and enforce SDLC and CI/CD best practice in GitHub (PRs, code reviews, branching, release management)
- Create and maintain roadmaps, delivery plans, RAID logs, and technical documentation
- Identify risk early and drive mitigation across data quality, security, scalability, and delivery timelines
- Facilitate technical design discussions and translate complex concepts for non-technical stakeholders
What you'll need
- 10+ years as an Engineering Manager, Technical Program Manager, or Technical Project Manager
- Strong hands-on understanding of Snowflake, dbt, GitHub, and Airflow
- Proven experience managing data engineering or analytics platform programmes
- Solid understanding of modern data stacks, ETL pipelines, and cloud data platforms
- Strong communication skills, able to engage engineering teams and senior stakeholders
- Comfortable managing multiple workstreams with minimal supervision
- Nice to have: Python/SQL/Bash, AWS/Azure/GCP, data quality/observability tooling, SAFe/PMP/Agile certification.
Interested? Send your CV or drop me a message for the full spec.