Senior Data Engineer - Azure & Snowflake

Senior Data Engineer - Azure & Snowflake
Location: Central London - 3–4 days onsite each week
Salary: £ Negotiable + benefits
We are supporting an enterprise-level client who is investing heavily in a modern cloud data platform that will sit at the centre of its data strategy. This programme will enable more advanced analytics, reporting and insight across multiple business functions.
We are looking to appoint three experienced Senior Data Engineers with strong Azure and Snowflake expertise.
The Role
This is a senior, hands-on engineering position within a high-performing data team. You will play a key role in shaping, developing and enhancing a large-scale Azure-based data platform, ensuring it is scalable, reliable and built to enterprise standards.
The position requires regular collaboration with stakeholders and an onsite presence in Central London 3–4 days per week, so this is not a fully remote role.
What You Will Be Doing

• Building and enhancing scalable data pipelines using Azure and Snowflake
  
• Developing and improving ETL / ELT processes across batch and micro-batch workloads
  
• Working extensively with Azure Data Factory, Azure SQL, Azure Storage and Azure Functions
  
• Designing and maintaining data warehouse structures including star and snowflake schemas
  
• Applying recognised data warehousing approaches such as Kimball and Inmon
  
• Writing and optimising complex SQL queries to support analytics and reporting
  
• Ensuring strong data governance, quality, validation and reconciliation processes
  
• Partnering with BI teams to enable effective reporting solutions
  
• Contributing to architectural decisions around performance, scalability and infrastructure
  
• Identifying and resolving issues to improve platform reliability and efficiency
  What We Are Looking For
  
• 7+ years in software engineering or development
  
• 5+ years working within data-focused environments
  
• At least 2 years hands-on experience with Azure cloud data platforms
  
• Strong expertise across the Azure Data Platform including Data Factory, SQL, Storage and Functions
  
• Proven experience in SQL development and data modelling
  
• Experience building both periodic batch and micro-batch data pipelines
  
• Solid understanding of enterprise data warehouse design and loading strategies
  
• A minimum of 1 year hands-on experience with Snowflake
  
• Experience working with large-scale enterprise datasets
  
• Strong analytical mindset with a clear focus on data integrity and performance
  Desirable Experience
  
• Advanced Snowflake performance tuning and optimisation
  
• Python and or Databricks exposure
  
• Experience designing full end-to-end data platform architectures
  
• Background supporting enterprise BI ecosystems
  
• Familiarity with CI/CD pipelines and infrastructure-as-code practices
  Additional Details
  
• Visa candidates will be considered
  
• Salary is open and negotiable depending on experience
  
• Immediate requirement
  If you are an experienced Senior Data Engineer with strong Azure and Snowflake expertise and are comfortable with a London-based hybrid working model, we’d love to hear from you