Senior Data Engineer at Cognify Search, London Area, £Contract Rate

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