Albany Beck
Snowflake Data Engineer
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About Albany Beck
Albany Beck is a specialist Financial Services Consultancy helping institutions deliver complex change and transformation while building the internal capability to sustain it. We combine subject matter expertise with innovative delivery models that help clients scale efficiently, while offering meaningful, long-term career opportunities to our people. At Albany Beck, you’ll be choosing to work with an organisation that’s passionate about your development and committed to delivering meaningful outcomes for our clients.
Role Overview
We are seeking a highly experienced Senior Snowflake Data Engineer to support the delivery and expansion of an enterprise data platform. The individual will play a key role in designing, building and optimising Snowflake-based data solutions that support Underwriting, Claims, Finance, Portfolio Management and Delegated Authority reporting.
The role requires a strong combination of hands-on Snowflake engineering expertise and deep London Market insurance knowledge to ensure business requirements are translated into scalable, trusted and well-governed data products. The successful candidate will work closely with Data Product, Analytics, Data Governance, Architecture and business stakeholders.
Responsibilities
Data Platform Engineering
- Design, develop and maintain scalable Snowflake data pipelines and ELT processes.
- Develop and optimise Snowflake data models across Raw, Curated and Gold layers.
- Implement reusable engineering patterns, frameworks and deployment processes.
- Support platform scalability, performance tuning and cost optimisation.
- Build and maintain automated data quality, reconciliation and monitoring capabilities.
- Support historisation, snapshotting and auditability requirements across the platform.
- Contribute to DevOps, CI/CD and release management processes for Snowflake deployments.
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Data Integration
- Integrate business data from core insurance platforms and external sources into Snowflake.
- Develop ingestion and transformation processes using Azure Data Factory, Snowflake and associated tooling.
- Support integration of submission, policy, premium, claims, bordereaux, delegated authority and finance datasets.
- Assist with migration and reconciliation activities between the legacy on-premise data warehouse and Snowflake.
Data Modelling
- Implement enterprise data models aligned to underwriting, claims and finance requirements.
- Develop conformed dimensions and reusable business entities.
- Support semantic model requirements for Power BI and analytical consumption.
- Apply best practice modelling approaches including dimensional, star schema and Snowflake modelling techniques.
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Essential Skills
Snowflake — Key Requirement
- Minimum 2+ years hands-on Snowflake engineering experience in a production environment.
- Strong experience designing and building enterprise-scale Snowflake platforms.
- Strong hands-on experience with:
- Snowflake performance optimisation
- ELT development
- Tasks and Streams
- Secure Views
- Data Sharing
- Cost optimisation
- Data governance implementation
- Role-based access controls
- Metadata management
London Market Insurance
- Minimum 5+ years London Market insurance experience.
- Strong understanding of:
- Policies
- Premiums
- Claims
- UMRs
- Lloyd's and Company market operations
- Experience working with Underwriting, Claims and Finance stakeholders.
Data Engineering
- Strong SQL development skills.
- Azure Data Factory experience.
- Experience building enterprise ETL/ELT pipelines.
- Experience implementing data quality frameworks and reconciliation processes.
- Experience with version control and DevOps practices.
- Experience working within modern cloud data platforms.
- Apply best practice modelling approaches including dimensional, star schema and Snowflake modelling techniques.
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