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McCabe & Barton
Data Platform Engineer
£100,000
London
Hybrid
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Description
Data Platform Engineer Permanent
Hybrid (3 days in the office, 2 days WFH)
London
McCabe & 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 Overview
As 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 Responsibilities
Platform Development & Maintenance
Design 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 & Architecture
Architect 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 Development
Develop 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 & Operations
Implement monitoring solutions usingAzure Monitor,Log Analytics, and Databricks tools.
Optimise performance, ensure SLAs are met, and establish disaster recovery and backup strategies.
Collaboration & Documentation
Partner with data scientists, analysts, and business stakeholders to deliver effective solutions.
Document technical designs, data flows, and operational procedures for knowledge sharing.
Essential Skills & Experience
5+ 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 Skills
Experience 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!
Role tech stack
Delta Lake
SQL
McCabe & Barton
Data Platform Engineer
£100,000
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