Senior Snowflake Developer

The successful candidate will play a key role in migrating legacy Microsoft SQL Server workloads to Snowflake, developing and optimising cloud-based data solutions to support critical banking functions.

This is a hands-on development role requiring strong expertise in Snowflake, dbt, Python and SQL Server, alongside a solid understanding of data warehousing, ETL/ELT processes and enterprise data architecture.

You will work closely with business stakeholders, data engineers, architects and wider technology teams to deliver robust, scalable and high-quality data solutions within a regulated financial services environment. Experience in Credit Risk, Market Risk or other banking data domains would be highly advantageous., * Develop, enhance and optimise Snowflake data solutions as part of a legacy SQL Server migration programme.

• Build and maintain data transformation pipelines and models using dbt.
• Develop Python scripts and automation solutions to support data migration, processing and operational efficiency.
• Analyse and migrate existing SQL Server databases, queries, stored procedures and data transformation logic to Snowflake.
• Design, implement and maintain scalable ETL/ELT pipelines, ensuring data quality, integrity and reconciliation throughout the migration.
• Develop and optimise data warehouse structures, star schemas and dimensional models to support business and regulatory reporting.
• Apply best practices for Snowflake performance tuning, query optimisation and cost efficiency.
• Implement automated testing, source control and CI/CD processes to support controlled and reliable deployments.
• Ensure data solutions adhere to enterprise data architecture, governance and control standards.
• Engage with business stakeholders and product owners to gather requirements and translate them into effective technical solutions.
• Troubleshoot complex data issues and support the successful delivery of migration milestones.
• Contribute to technical design decisions, lead development activities and mentor junior developers where required., The following experience would be beneficial but is not essential:
• Financial Services: Credit Risk, Market Risk, Counterparty Risk, Treasury, Regulatory Reporting, Capital or Liquidity Reporting.
• Scheduling & Automation: Control-M.
• Microsoft BI Stack: SSIS, SSRS and SSAS.
• Reporting & Analytics: Power BI, semantic models and paginated reports.
• Cloud Technologies: Azure Data Services and cloud migration initiatives.
• Snowflake Ecosystem: Snowflake Streamlit and CoCo.
• Advanced Technologies: AI, Generative AI and Machine Learning applied to data engineering, analytics or reporting.
• Modern Data Processing: Real-time or near-real-time data architectures.

• Extensive hands-on experience developing solutions in Snowflake, ideally with at least three years of dedicated experience.
• Strong experience with dbt, including data modelling, transformation, testing and deployment.
• Advanced Python development skills for data engineering and automation.
• Strong SQL Server experience, including database design, query optimisation, performance tuning and troubleshooting.
• Significant experience designing and delivering enterprise-scale ETL/ELT solutions.
• Strong understanding of data warehousing principles, star schema design, dimensional modelling and data architecture.
• Experience with data governance, data quality and reconciliation within enterprise environments.
• Familiarity with Git-based source control, CI/CD pipelines and structured development and release practices.
• Proven experience delivering data solutions within Banking or Financial Services.
• Strong stakeholder engagement, requirements gathering and communication skills.
• Experience with Snowflake Cortex and Snowflake Streamlit would be highly beneficial, * Azure Data Lake
• Cloud Services & Infrastructure
• Communication Skills (Key)
• Data Management (System)
• Data Modeling (Model)
• Data Pipeline Development
• Financial Knowledge
• Power BI (Opportunity)
• Snowflake Data Platform
• SQL Databases

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