Job Description

ESSENTIAL ROLES & RESPONSIBILITIES

  • Identify and understand customer data-centric use cases within regulated financial services environments
  • Design and implement data ingestion, processing, and transformation pipelines on Azure
  • Build and maintain data pipelines for cleaning, normalisation, enrichment, and preparation
  • Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture
  • Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments
  • Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability
  • Use automated CI/CD pipelines to manage, deploy, and version data artefacts and pipelines
  • Operationalise workflows developed by analysts and data scientists
  • Support customers in adopting Azure data, analytics, and mac...

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