Senior Data Engineer

Senior Data Engineer (HealthTech – Data Platform Engineering) 6-month rolling contract | Hybrid (1 day onsite per week) | Outside IR35 We’re looking for a hands-on Senior Data Engineer to join a fast-growing HealthTech company building a modern, cloud-native data platform. You’ll design and deliver scalable, production-grade data pipelines that power analytics, reporting, and operational decision-making across the business This is a highly practical engineering role focused on integrating core operational systems into a Snowflake-based platform using Fivetran, Azure, and Python What you'll Do: • Design, build, and maintain scalable ELT data pipelines across the platform • Implement and manage Fivetran connectors for key data sources • Build reliable integrations from Azure Cosmos DB and SQL Server into Snowflake • Develop Python-based ingestion and transformation workflows • Ensure data quality through validation, monitoring, and automated checks • Design and optimise data models for analytics and reporting • Collaborate with engineering teams to improve source data quality and structure • Build observability into pipelines (logging, alerting, failure recovery) • Optimise performance, reliability, and cost across data workflows • Contribute to Azure-based data platform architecture and best practices What we’re looking for: • Strong experience as a Data Engineer in cloud environments (5+ years preferred) • Hands-on experience with Fivetran in production environments • Strong experience with Snowflake • Advanced Python and SQL skills • Experience integrating data from Cosmos DB and SQL Server • Strong understanding of ELT pipelines and modern data modelling • Experience working within Microsoft Azure data services • Experience supporting production data pipelines (monitoring, reliability, incident resolution) • Strong communication skills and ability to work across technical and non-technical teams