Azure Data Engineer

Azure Data Engineer

Manchester(Hybrid)

You’ll design and build scalable, automated data pipelines that bring together information from across the organisation. It’s a hands-on engineering role covering everything from data ingestion to transformation, modelling and delivery, all within a modern Azure environment.

You’ll report to the Lead Data Engineer and join our Data Engineering Team, working alongside architects, analysts, testers and agile delivery squads.

Responsibilities:

• Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps

• Ingest, transform and model data from multiple sources into our enterprise data platform

• Optimise data flows for performance, reliability and reusability

• Support data quality, reconciliation and monitoring processes

• Work across the full data lifecycle, from raw source to insight

Experience

• SQL Server, Data Warehousing, Big Data, Power BI, ETL & BI platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview

• Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse

• Python, Scala, PySpark

• SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads

Desirable Experience

• PowerShell scripting, Agile delivery environments, CI/CD, IaaS / PaaS / SaaS, Containerisation, PoCs / pilots / prototypes, Semarchy (MDM), PL/SQL, Total Mobile, Total Repairs, Total Connect Repairs

Qualifications

• Degree or equivalent experience in: IT, Computer Science, Data Engineering, Related field