Senior Data Engineer (Databricks & Graph Databases)

Ascent is now part of Acuity Analytics, marking an exciting new chapter with strong global reach, an impressive client base, and ambitious growth plans. Together, we deliver cutting-edge data and digital transformation solutions to high-growth and regulated organisations—combining talent, technology, and deep domain expertise to drive real business impact.

We’re looking for a Senior Data Engineer to join a growing data team supporting large-scale pharma and life sciences initiatives. This role will focus on building and optimising modern data platforms using Azure Databricks and graph database technologies, helping deliver scalable and insight-driven solutions across complex scientific and business datasets.

You’ll work closely with data engineers, analysts, and business stakeholders to design high-quality data pipelines and support advanced analytics use cases within a highly regulated environment.

• 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

• Strong experience with Azure Databricks
• Solid hands-on experience with PySpark and SQL
• Experience working with graph databases and connected data models
• Strong understanding of modern data engineering principles and cloud platforms
• Experience working with large-scale enterprise datasets
• Strong communication and stakeholder management skills

• Experience within the pharma or life sciences domain
• Exposure to regulated or compliance-driven environments
• Knowledge of Delta Lake or medallion architecture
• Experience with Azure cloud services
• Familiarity with CI/CD or DevOps practices

• Agile delivery environment
• Collaborative and supportive culture
• Strong focus on ownership, quality, and continuous improvement
• Opportunity to work on modern cloud and data technologies at scale

If you’re excited about building modern data platforms and solving complex data challenges within pharma and life sciences, we’d love to hear from you.