Manager, Snowflake Engineer, Snowflake Transformation and Growth

In this role, you design, build and optimise scalable Snowflake-based data and AI-ready solutions for clients. You’ll work with cross-functional teams to modernise data platforms, deliver data pipelines and trusted data foundations, and support analytics and AI workloads. This role blends hands-on engineering with stakeholder engagement to drive high-impact transformation across regulated, data-rich environments. You join a collaborative Engineering, AI & Data team focused on delivering measurable business value.

• hybrid working in London
• development opportunities
• work with world-leading clients
• collaborative culture
• focus on wellbeing
• flexible working arrangements

• Lead discussions with technical stakeholders to define data pipelines aligned with architecture
• Develop physical data models for data acquisition, ETL/ELT, and deployment
• Plan and oversee legacy data migrations ensuring scalability, reliability and risk management
• Evaluate Snowflake technologies and integrate changes into client solutions
• Champion delivery practices, reusable code, code reviews and CI/CD across sprint teams
• Design, build, test and deploy scalable batch and near-real-time data pipelines on Snowflake using SQL, Python, Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables
• Lead the full data engineering lifecycle from requirements to deployment and continuous improvement
• Communicate technical decisions clearly to technical and non-technical audiences
• Design robust data models and ETL/ELT patterns supporting analytics, ML and AI use cases
• Optimise Snowflake workloads for performance, cost, and reliability; implement security, RBAC, governance and data quality
• Prepare governed, reusable datasets and integrate data products with downstream applications
• Apply modern engineering practices: version control, automated testing, IaC, monitoring and data observability
• Produce high-quality artefacts: designs, data models, interface specs, runbooks
• Lead and coach engineers through technical reviews and delivery standards

• Bachelor’s degree in a technical or quantitative field
• Experience leading engineering workstreams and delivering enterprise data solutions
• Experience delivering data programmes in regulated or data-rich industries
• Experience gathering requirements from business and technical stakeholders and communicating solutions
• Strong analytical, problem-solving and troubleshooting skills
• Experience leading cloud data warehouses using Snowflake and AWS/Azure/GCP
• Proficiency in SQL, Python, Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables
• Knowledge of Snowflake architecture, security features, time travel, cloning and replication
• Experience with query optimisation, clustering and warehouse configuration
• Experience with CI/CD, IaC, automated testing and coding guardrails
• Ability to explain complex concepts to diverse audiences
• Experience enabling AI-ready workloads with governed Snowflake data products
• Experience with orchestration tools and cloud integration services
• Exposure to Terraform or similar IaC tools
• Understanding of data modelling principles for analytics and ML

• Stakeholder engagement
• Strong communication and collaboration
• Problem-solving mindset
• Snowflake
• SQL
• Python