Data Engineer

• The Data Engineer will own and assess the Snowflake platform, proposing and executing optimisation around performance, cost, scalability, and architecture improvements.
• Lead DBT development and maintenance, with emphasis on test frameworks, transformation efficiency, and eliminating redundant or resource-heavy flows (eg, excessive temp table usage).
• Design, implement, and maintain CI/CD pipelines to automate reliable deployment of data transformations.
• Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance.
• Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch.
• Be a technical mentor and knowledge resource within the team - promoting best practices and embedding continuous improvement.
• Communicate effectively with both technical engineers and non-technical stakeholders to drive alignment and adoption of data initiatives.

• The Data Engineer will have substantial experience as a Data Engineer, especially working with Snowflake in production environments.
• Advanced experience with DBT, including testing, modular modelling, and optimisation.
• Track record in building or maintaining CI/CD pipelines for data workflows.
• Strong familiarity with Snowflake infrastructure, performance tuning, and cost modelling.
• Excellent communication skills and ability to mentor or teach other engineers.

Desirable/Nice to Have

• Exposure to ML Ops (particularly around operationalising models).
• Familiarity with data science environments and predictive analytic workflows.

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35