* Permanent full time opportunity + attractive salary on offer
* 5 day in the office requirement based in Richmond
* Join a high performing team for this health and beauty consumer
Our client is currently on the lookout for an experienced Data Engineer to build scalable, secure, cloud-native data platforms on Microsoft Fabric and Azure services. You will design and deliver modern data pipelines, optimising Lakehouse structures, ingestion/processing frameworks, and data products that support analytical, AI and application use cases.
Key Duties & Responsibilities:
* Design, implement, and maintain cloud?native data architectures using Microsoft Fabric Lakehouse, Delta Lake, Azure Databricks, and related Azure data services
* Build resilient, secure data ingestion and transformation pipelines, using Fabric Data Pipelines, Azure Data Factory, Azure Databricks, or Spark?based frameworks.
* Create scalable ETL/ELT pipelines, reusable components, and data processing jobs aligned to robust engineering best practices.
* Implement enterprise?grade DevOps and IaC, including automated deployments, configuration-as-code, environment promotion, and repeatable provisioning.
Key Skills and Experience Required:
* Deep expertise with Microsoft Fabric, OneLake, Fabric Data Pipelines, Delta Lake, and Spark?based processing.
* Experience with Azure Databricks, Azure Data Factory, Synapse Analytics (legacy or supplemental), and Azure-native storage/analytics services.
* Strong proficiency in Python, PySpark, SQL, and optimising distributed compute jobs.
* Experience with Git, GitHub, GitHub Actions or Azure DevOps CI/CD, automated testing, deployment workflows, and IaC (Bicep).
For a confidential discussion, please contact Brandon Wong on *** / ************@ or hit Apply Now!