Method Resourcing
Data Engineer
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Method Resourcing are excited to partner with an innovative SaaS business based in London looking to hire a Senior Data Engineer to join their talented team as they continue to grow.
The Senior Data Engineer will be a key member of the Data & Analytics team, leading the design and build of a centralized Data Warehouse. The role focuses on delivering scalable data solutions that improve storage, integration, and management, using expertise in Kimball Methodology and Azure Data Factory to ensure reliable, consistent data across all sources.
Responsibilities:
- Build and maintain ETL pipelines using Azure Data Factory to ingest data from multiple sources into Azure SQL Server.
- Enforce data governance policies, conduct QA checks, and implement monitoring to uphold data quality and integrity.
- Review API documentation and analyse raw data and source system models to ensure data is well understood before staging.
- Maintain data dictionaries and models, sharing knowledge with the team to foster continuous improvement.
- Support Senior Data Analysts with complex SQL queries and Power BI reporting, providing cover during absences.
- Work effectively across global teams in a hybrid model, delivering high-quality output with professionalism.
- Communicate technical concepts clearly to non-technical stakeholders, building collaboration across the business.
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About you:
- Proficient in Azure Data Factory, Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps.
- Strong data modelling skills, with experience building scalable staging and production layers.
- Proven ability to optimise data loads for reliability, performance, and efficiency.
- Forward-thinking approach to scaling data infrastructure in line with business growth.
- Experience integrating data from diverse sources, maintaining accuracy and consistency throughout the ETL process.
- Skilled at troubleshooting complex data pipeline and infrastructure issues.
- Collaborative team player, able to align data solutions with business objectives across cross-functional teams.
- Familiar with CI/CD pipelines and agile practices to support efficient development and deployment.
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