Method Resourcing
Senior Data Engineer
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Senior Data Engineer | Azure Data Factory | Azure SQL | ETL | Kimball Methodology | 1 day per week London | Up to £80,000 + benefits
Method Resourcing are delighted to be partnering with an innovative SaaS business operating within a highly data-driven and regulated industry. Following continued growth and investment in their data capabilities, they are looking to hire a Senior Data Engineer to play a key role in the evolution of their data platform.
This is an opportunity to join a business where data sits at the heart of decision-making. You'll work alongside a high-performing Data & Analytics team, helping to build and optimise a centralised data warehouse that supports reporting, analytics, and future business growth.
The Role
As a Senior Data Engineer, you'll be responsible for designing, developing, and maintaining the pipelines and architecture that enable the organisation to make better use of its data.
You'll work closely with Data Analysts, business stakeholders, and engineering teams to ensure data is accurate, accessible, and scalable. This role has a strong focus on data warehousing, ETL development, data modelling, and platform optimisation within the Microsoft Azure ecosystem.
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Importantly, this is not a Databricks-focused role.
The environment centres around Azure Data Factory, Azure SQL, ETL processes, and data warehouse design.
What You'll Be Working On
- Designing and maintaining data pipelines using Azure Data Factory
- Building a scalable and reliable enterprise data warehouse
- Applying Kimball methodology principles to data warehouse design
- Integrating data from multiple internal and external sources
- Developing staging and production data models
- Driving improvements in data quality, governance, and monitoring
- Analysing source systems and APIs to ensure data is correctly modelled and understood
- Supporting reporting and analytics teams with complex SQL requirements
- Optimising data loading performance, reliability, and scalability
- Contributing to CI/CD processes and modern data engineering best practices
Key Skills & Experience We're Looking For
- Strong experience with Azure Data Factory
- Excellent SQL skills
- Experience building and supporting enterprise data warehouses
- Strong understanding of Kimball methodology
- Proven data modelling expertise
- Experience working with ETL processes and data integration
- Ability to troubleshoot and optimise complex data pipelines
- Experience working with Azure DevOps and modern deployment practices
- Strong stakeholder communication skills
- Ability to operate effectively within a collaborative, cross-functional environment
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This role would suit a Data Engineer who enjoys ownership, solving business problems through data, and helping shape a modern data platform within a growing organisation.
Working Pattern
Hybrid role with 1 day per week in the London office.
If you're looking for a role where you can have a genuine impact on a company's data capability while working with modern Azure technologies, please apply or reach out to thomas.morris@methodresourcing.co.uk for more information.
Senior Data Engineer | Azure Data Factory | Azure SQL | ETL | Kimball Methodology | 1 day per week London | Up to £80,000 + benefits
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