Senior Snowflake Developer

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

We are seeking an experienced Senior Snowflake Developer to play a key role in the design, development and optimisation of enterprise reporting and analytics platforms within a Financial Services environment. The successful candidate will be responsible for delivering scalable data solutions using modern cloud technologies, supporting critical regulatory, risk, finance and management reporting requirements.

This role requires a strong blend of technical expertise, data architecture capability and stakeholder management skills. The individual will work closely with business users, architects, developers and project teams to deliver strategic data initiatives, modernise Legacy platforms and establish robust cloud-based data solutions.

• Design, develop and maintain scalable data solutions within Snowflake.
• Build and optimise enterprise-grade ELT/ETL pipelines supporting business-critical reporting and analytics requirements.
• Design and implement robust data models, including dimensional, analytical and operational reporting structures.
• Develop and maintain reusable transformation frameworks using dbt.
• Develop Python-based data processing, automation and integration solutions.
• Contribute to architecture decisions and technical design standards.
• Support platform modernisation and migration initiatives from Legacy technologies to cloud-based platforms.

• Develop data ingestion and transformation processes from a wide variety of source systems.
• Optimise Snowflake databases, queries and workloads to improve performance and cost efficiency.
• Ensure solutions are scalable, maintainable and aligned with enterprise standards.
• Implement data quality controls and monitoring capabilities.
• Troubleshoot and resolve complex production and performance-related issues.

• Engage directly with business stakeholders to understand requirements and translate them into technical solutions.
• Facilitate workshops and requirements gathering sessions.
• Communicate effectively with both technical and non-technical audiences.
• Build strong working relationships across business and technology teams.
• Provide technical leadership and guidance throughout project delivery.

• Champion best practices across data engineering, modelling and software development.
• Contribute to technical documentation and knowledge-sharing initiatives.
• Support code reviews, testing and release activities.
• Ensure compliance with governance, security and regulatory standards.

• Extensive hands-on experience with Snowflake
• Strong experience using dbt for transformation, modelling and deployment of data solutions.
• Advanced Python development skills for data engineering and automation.
• Strong SQL Server experience, including database design, optimisation and troubleshooting.
• Significant experience designing and implementing ETL/ELT solutions
• Strong understanding of:
  Data warehousing principles, Star schema and dimensional modelling, Data architecture and data governance, Performance tuning and optimisation, Experience working with source control and CI/CD delivery practices.

• Proven experience within Banking or Financial Services organisations, preferably within the Credit or Market Risk arena.
• Strong understanding of enterprise data environments supporting risk, finance, treasury, regulatory or management reporting.
• Experience working within governance and control frameworks common to regulated financial institutions.

• Demonstrable experience engaging with business stakeholders, product owners and senior management.
• Strong requirements gathering and business analysis skills.
• Ability to translate complex business requirements into scalable technical solutions.
• Excellent verbal and written communication skills.

• Control-M

• SSIS
• SSRS
• SSAS

• Experience with AI, Generative AI or Machine Learning technologies.
• Experience leveraging AI technologies to improve data engineering, analytics or reporting…