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.

Role Title: Senior Snowflake Developer
Location: London (Hybrid - 2/3 days per week)
Duration: 05/04/2027
Pay rate: £537 per day all inc. (PAYE through FCSA Umbrella)

Role Description:

Role Summary
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.
Key Responsibilities
Solution Design & Development
- 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.
Data Engineering & Optimisation
- 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.
Stakeholder Engagement
- 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.
Governance & Best Practice
- 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.
Essential Skills & Experience
Technical Skills
- 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.
Financial Services Experience
- 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.
Stakeholder Management
- 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.
Desirable Skills & Experience
The following skills are highly desirable but not essential.

Scheduling & Automation
- Control-M

Microsoft BI Stack
- SSIS
- SSRS
- SSAS
Advanced Analytics & AI
- Experience with AI, Generative AI or Machine Learning technologies.
- Experience leveraging AI technologies to improve data engineering, analytics or reporting processes.
Data & Reporting
- Power BI
- Azure Data Services
- Cloud migration initiatives
- Real Time or near-Real Time data processing architectures
Financial Services Domain Knowledge
- Market Risk
- Credit Risk
- Counterparty Risk
- Treasury
- Regulatory Reporting
- Capital and Liquidity Reporting
Working Pattern
This role operates under a hybrid working model with a.*minimum office attendance requirement of 2/3 days per week* at our London office.
Candidates must be comfortable working closely with business stakeholders, technology teams and project delivery resources in a highly collaborative environment. Regular onsite engagement is considered essential for requirements gathering, solution design workshops, stakeholder management, technical leadership and successful delivery of strategic initiatives.
This requirement forms a key part of the role and applicants should be willing and able to meet the four-day-per-week office attendance expectation on an ongoing basis.
Personal Attributes
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Self-motivated and capable of working independently.
- Collaborative and team-oriented approach.
- Strong delivery focus with the ability to manage competing priorities.
- Comfortable operating in a fast-paced and complex environment.
- Proactive approach to stakeholder engagement and issue resolution.
Preferred Candidate Profile
The ideal candidate will have:
- 7+ years of experience in data engineering, data warehousing or analytics platform development.
- 3+ years of dedicated Snowflake development experience.
- Proven track record delivering enterprise-scale data solutions in Banking or Financial Services.
- Experience modernising Legacy Microsoft data platforms and migrating workloads to cloud-based technologies.
- Strong stakeholder engagement skills with the ability to partner effectively with both business and technology teams.
- Experience leading technical workstreams and mentoring junior developers.
Typical Technology Stack
Core Technologies
- Snowflake (including CoCo)
- dbt
- Python
- SQL Server

Data Engineering
- ETL/ELT Frameworks
- Data Warehousing
- Data Modelling
- Data Governance
Nice to Have
- Control-M
- Power BI
- Semantic Models
- Paginated Reports
- Snowflake - Streamlit
- SSIS
- SSRS
- SSAS
- Azure
- AI/Generative AI Tools

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.