Data Engineer

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