Job Opportunity: Platform Engineer (Databricks Specialist) Location : Manchester OR London | Employment Type : Full-time | Experience Level : Senior Are you an experienced Platform Engineer with a passion for Data & AI? We’re working with a leading consultancy seeking a talented professional to help build and optimise data platforms using Databricks. In this role, you’ll play a pivotal part in designing, implementing, and maintaining robust, scalable infrastructure that powers high-impact analytics and machine learning solutions. Key Responsibilities Engineer and maintain modern data platforms with a strong focus on Databricks, including Delta Lake, Apache Spark, and MLflow Build and optimise CI/CD pipelines, infrastructure-as-code (IaC), and cloud integrations (Azure preferred, AWS/GCP beneficial) Collaborate with data engineers, architects, and stakeholders to ensure platform scalability, performance, and security Champion best practices in platform reliability, monitoring, and cost-efficiency Contribute to platform automation, DevOps tooling, and environment management for development through to production Skills & Qualifications 7 years of experience in platform engineering, DevOps, or cloud infrastructure, with a focus on data platforms Advanced hands-on experience with Databricks, Spark, Delta Lake, and Python Proficient with Azure services (Data Factory, Storage, DevOps) and experience with IaC tools (Terraform, Bicep, ARM) Experience supporting data pipelines, machine learning workflows, and real-time data processing Knowledge of cloud security, networking, and governance frameworks for enterprise environments Strong communication skills and ability to work collaboratively across technical and non-technical teams Why Join Work on impactful, transformational data & AI projects Opportunities for professional growth, leadership, and innovation Competitive salary, benefits, and flexible working arrangements