About the Role

We are looking for an experienced Data/Platform Engineer to join my client's growing team. This role is ideal for an engineer who enjoys designing modern data platforms, building scalable cloud solutions, and automating deployments through DevOps best practices.

You will work across the full data lifecycle, from platform architecture and data engineering through to analytics, reporting, governance, and cloud optimisation. The role requires a strong technical background combined with the ability to deliver practical solutions that drive business value.

The role is hybrid working with 3 days from home and 2 days from the local office (Edinburgh, London, Manchester, Birmingham or Leeds) or with client.

Sponsorship is not available for this role.

Key Responsibilities

• Design, build and maintain modern cloud-based data platforms and data warehouse solutions.
• Develop and optimise ETL/ELT pipelines using Databricks, Spark, SQL and Python.
• Create and manage CI/CD pipelines to automate deployments and improve engineering productivity.
• Implement Infrastructure as Code using Terraform and cloud-native tooling.
• Design and maintain scalable data models that support operational and strategic reporting requirements.
• Manage platform security, access controls, metadata and data governance standards.
• Build integrations with external systems, APIs and cloud services.
• Support the development and delivery of BI dashboards and analytics solutions.
• Collaborate with business and technical stakeholders to define and deliver scalable data solutions.
• Drive automation, testing and continuous improvement across data and platform services.