Overview
We are seeking a hands-on Senior Data Engineer to join a dynamic HealthTech company focused on building a modern, cloud-native data platform. In this hybrid role, you will design and implement scalable data pipelines that enable analytics and reporting, working closely with various engineering teams to enhance data quality and structure. Your expertise will drive the integration of core operational systems into a Snowflake-based platform, utilizing tools such as Fivetran and Azure, contributing to the continuous improvement of the data architecture.
Responsibilities
- 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, including logging and alerting.
Requirements
- 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, including monitoring and incident resolution.