Data Engineer - #2112897

Oliver James


Date: 10 hours ago
City: Manchester
Salary: £55,000 - £60,000 / year
Contract type: Full time
Work schedule: Full day
Oliver James


Data Engineer | Manchester (3 days per week in the office) | up to £60k + benefits
Azure | Microsoft Fabric | Data Platform

We're looking for a skilled and motivated Data Engineer to join a growing data platform team, building the pipelines and integrations that power analytics and operational systems across the business.

You'll work in a modern Azure environment centred on Microsoft Fabric and medallion architecture, partnering closely with data analysts, architects, and business stakeholders to deliver high-quality, governed data products.

What you'll be doing

  • Designing and maintaining scalable ELT/ETL pipelines using Azure Data Factory and Microsoft Fabric pipelines
  • Implementing medallion architecture (Bronze/Silver/Gold) across the data platform
  • Building reliable ingestion from APIs, databases, flat files, and event streams
  • Supporting master data management, data quality rules, and golden record definition
  • Working hands-on with ADLS, Azure SQL, Event Hubs, Delta Lake, and OneLake
  • Designing integration patterns and REST APIs to support near real-time data flows
  • Contributing to infrastructure-as-code and environment provisioning in Azure

What you'll bring

  • Solid hands-on data engineering experience - pipelines, ETL/ELT, and data modelling
  • Strong Azure Data Factory experience
  • Experience with, or strong interest in, Microsoft Fabric (lakehouse and pipeline capabilities)
  • Practical understanding of medallion architecture
  • Strong Python and/or SQL skills for transformation, automation, and quality checks
  • API integration experience and solid grasp of integration design patterns
  • Good working knowledge of Azure services: ADLS, Azure SQL, Key Vault, Event Hubs

Nice to have

  • Fabric Lakehouses, Warehouses, and Data Pipelines experience
  • Exposure to streaming/event-driven patterns (Event Hubs, Kafka)
  • CI/CD and version control experience (Git, Azure DevOps)
  • Data governance / Microsoft Purview knowledge
  • Background in a high-volume operational or analytical environment

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