Salary: £75,000 - 85,000 per year Requirements: Degree in Computer Science, Data Engineering, or a related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation, and data processing. Experience developing and integrating REST APIs for data services. Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms. Experience with Infrastructure as Code tools such as Terraform or ARM templates. Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts. Familiarity with monitoring, logging, and alerting tools (e.g., Azure Monitor). Experience with additional Azure services (e.g., Fabric, Azure Functions, Logic Apps). (Desirable) Knowledge of cloud cost optimisation for data platforms. (Desirable) Understanding of data governance and regulatory compliance (e.g., GDPR). (Desirable) Experience working in regulated or professional services environments. (Desirable) Responsibilities: Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation. Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments. Develop and maintain infrastructure-as-code (e.g., Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components. Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements. Technologies: ARM Architect Azure CI/CD Cloud Databricks DevOps ETL Fabric Support Python PySpark REST SQL Spark Terraform Unity GameDev More: We are seeking a Lead Data Platform Engineer to join our team. In this role, you will design, develop, automate, and maintain our secure, scalable, and compliant data platforms. You will work with cutting-edge technologies, ensuring that our data solutions are robust and reliable. We offer a collaborative work environment, a focus on innovation, and opportunities for professional growth. Our team values diversity and dedication, and we are committed to delivering the best data solutions for our clients. Join us in our mission to efficiently manage, analyze, and utilize data while upholding the highest standards of client confidentiality. last updated 19 week of 2026