We're looking for a Senior Data Engineer to join a growing data team supporting large-scale pharma and life sciences initiatives, building and optimising modern data platforms using Azure Databricks and graph database technologies.
Requirements
- Design and develop scalable data pipelines using Azure Databricks
- Build and optimise transformations using PySpark and SQL
- Support development of curated and trusted data layers
- Work with large and complex datasets in cloud-based environments
- Ensure data quality, governance, and traceability across platforms
- Work with graph database technologies to model highly connected datasets
- Support relationship-driven analytics and querying
- Design efficient and scalable data structures for complex business domains
- Collaborate on data architecture and modelling best practices
- Partner with technical and business stakeholders to understand requirements
- Translate business needs into scalable engineering solutions
- Contribute to agile ceremonies, sprint delivery, and technical documentation
- Share knowledge and engineering best practices across the wider team
Benefits
- Opportunity to work on modern cloud and data technologies at scale
- Collaborative and supportive culture
- Strong focus on ownership, quality, and continuous improvement