Senior Data Engineer

About the role

We are partnering with an innovative SaaS company in London to find a Senior Data Engineer to lead the design and build of a centralized data warehouse. You will join a dynamic Data & Analytics team, delivering scalable data solutions on Azure.

Key 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 ensure data quality and integrity.
• Review API documentation and analyse raw data and source system models before staging.
• Maintain data dictionaries and models, sharing knowledge to foster continuous improvement.
• Support Senior Data Analysts with complex SQL queries and Power BI reporting, covering absences as needed.
• Collaborate across global teams in a hybrid model, delivering high‑quality output.
• Communicate technical concepts clearly to non‑technical stakeholders.

Required profile

• Proficient with Azure Data Factory, Azure SQL Server, Azure DevOps, Azure Key Vault and Azure Logic Apps.
• Strong data‑modelling experience building scalable staging and production layers.
• Proven ability to optimise data loads for reliability, performance and efficiency.
• Experience integrating data from diverse sources while maintaining accuracy and consistency.
• Skilled at troubleshooting complex data pipeline and infrastructure issues.
• Collaborative team player able to align data solutions with business objectives.
• Familiar with CI/CD pipelines and agile development practices.

Required skills

• Azure Data Factory
• Azure SQL Server
• Azure DevOps
• Azure Key Vault
• Azure Logic Apps
• SQL
• Power BI