Data Engineer
Posted
Description
Fully remote |12 month contract | Extension opportunity
The opportunity
Join a leading European online pharmacy and digital healthcare business helping millions of customers access healthcare more easily. Own data delivery within a business domain, working directly with stakeholders and the wider engineering team from source discovery and ingestion through to transformation, modelling and reporting.
What we are looking for
- Strong experience delivering production data solutions on Azure, with hands-on Azure Databricks and Azure Data Factory expertise.
- Experience with Microsoft Fabric and lakehouse architecture.
- Strong SQL and Python/PySpark skills, plus experience with dbt transformations and testing.
- Understanding of dimensional modelling, Power BI and semantic models.
- Confidence with Git, CI/CD and deployment across environments.
- Ability to work independently, communicate with stakeholders and own delivery.
What you will do
- Own the delivery of reliable, scalable data pipelines and data products, translating business requirements into technical solutions.
- Build ingestion and orchestration pipelines using Azure Data Factory, and transformations using Databricks, SQL and Python/PySpark.
- Work with Microsoft Fabric, lakehouse architecture and Bronze, Silver and Gold data layers.
- Develop analytical data models and reusable semantic models for Power BI.
- Apply data quality checks, testing, monitoring and governance practices.
- Manage code and deployments through Git, pull requests and CI/CD.
- Share ideas, documentation and knowledge across the engineering team.