Location: Central London, London, South East, UKData Platform Engineer
PermanentHybrid (3 days in the office, 2 days WFH)LondonMcCabe & Barton are partnering with a leading financial services client to recruit an experiencedData Platform Engineer. This is an excellent opportunity to join a forward-thinking team driving innovation with modern cloud-based data technologies.Role OverviewAs a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure usingAzureandDatabricks. Youll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure.Key ResponsibilitiesPlatform Development & MaintenanceDesign and implement data pipelines usingAzure Data Factory,Databricks, and related Azure services.Build ETL/ELT processes to transform raw data into structured, analytics-ready formats.Optimise pipeline performance and ensure high availability of data services.Infrastructure & ArchitectureArchitect and deploy scalable data lake solutions usingAzure Data Lake Storage.Implement governance and security measures across the platform.LeverageTerraformor similar IaC tools for controlled and reproducible deployments.Databricks DevelopmentDevelop and optimise data jobs usingPySparkorScalawithin Databricks.Implement themedallion architecture(bronze, silver, gold layers) and useDelta Lakefor reliable data transactions.Manage cluster configurations and CI/CD pipelines for Databricks deployments.Monitoring & OperationsImplement monitoring solutions usingAzure Monitor,Log Analytics, and Databricks tools.Optimise performance, ensure SLAs are met, and establish disaster recovery and backup strategies.Collaboration & DocumentationPartner with data scientists, analysts, and business stakeholders to deliver effective solutions.Document technical designs, data flows, and operational procedures for knowledge sharing.Essential Skills & Experience5+ years of experience withAzure services(Azure Data Factory, ADLS, Azure SQL Database, Synapse Analytics).Strong hands-on expertise inDatabricks,Delta Lake, andcluster management.Proficiency inSQLandPythonfor pipeline development.Familiarity withGit/GitHuband CI/CD practices.Understanding ofdata modelling,data governance, andsecurityprinciples.Desirable SkillsExperience withTerraformor other Infrastructure-as-Code tools.Familiarity withAzure DevOpsor similar CI/CD platforms.Experience with data quality frameworks and testing.Azure Data Engineer or Databricks certifications.Please apply with an updated CV if you align to the key skills required!TPBN1_UKTJ