About this role
Senior Data & AI Engineer - London (Hybrid) - Azure Databricks - AI & LLMs - Life Sciences - Up to £90,000
We're supporting a fast-growing technology business that is investing heavily in its data platform, AI capability and international growth plans. Their products help organisations across the Life Sciences sector unlock greater value from complex scientific data, and they're now looking for a Senior Data & AI Engineer to play a key role in that journey.
This is an opportunity to join at a pivotal stage of growth, where you'll have real influence over technical direction, architecture decisions and AI innovation. Rather than simply maintaining pipelines, you'll play a key role in shaping products used by industry-leading organisations, helping turn complex data into actionable insights.
With major investment being made into Databricks, cloud infrastructure and generative AI initiatives, including the development of proprietary LLM-powered products, you'll be working on projects that are high-profile, business-critical and highly visible to senior leadership.
You Will Work With
Designing and scaling Azure Databricks-based data platformsBuilding robust data pipelines using Databricks, PySpark, Delta Lake and AirbyteDeveloping AI and LLM-powered capabilities within customer-facing productsDelivering data products that support commercial decision-makingOptimising Azure and Databricks environments for performance, scalability and costImplementing governance, security and best practice across the data estateCollaborating closely with Product, Engineering and Business stakeholdersSupporting the development of innovative data visualisation capabilitiesInfluencing technical strategy and future AI initiativesMentoring colleagues and helping shape a growing data function
Benefits
Exposure to cutting-edge AI and LLM technologiesSignificant ownership and autonomyClear influence on technical direction and product strategyModern Azure & Databricks technology stackHigh-growth, investment-backed environmentExcellent career progression opportunities as the business scales internationallyOpportunity to make tangible business impact from day one
Key Experience
We're looking for a senior-level engineer who can operate independently and make an immediate impact.
Essential experience:
Strong Azure Databricks expertiseAdvanced Python, SQL and PySpark skillsExperience designing and building modern data platforms and pipelinesDatabricks optimisation, performance tuning and cost managementExperience with Delta Lake and Lakehouse architecturesStrong Azure cloud experienceExperience with modern data ingestion tools such as AirbyteExposure to Generative AI, LLMs, RAG or AI-enabled productsExcellent stakeholder management and communication skillsExperience delivering business-facing or customer-facing data products Highly desirable:
Life Sciences, Healthcare, Pharmaceutical or Scientific Data experienceUnity Catalog implementation and governance experienceExperience with data visualisation platforms such as SigmaExperience scaling platforms within SaaS environmentsCandidates available within a short notice period
Ready for Your Next Challenge?
If you're looking for a role where you can combine Data Engineering, AI innovation and commercial impact, this is a real opportunity to help shape the future of a rapidly expanding technology business with significant investment and ambitious growth plans.
Apply now!