Azure Data Engineer

DGH Recruitment Ltd; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

DGH Recruitment Ltd is seeking an Azure Data Engineer to contribute to building a modern Azure-based data platform. The role focuses on hands-on engineering, designing scalable data pipelines with Data Factory, Databricks, Synapse and related tools to deliver end-to-end data from ingestion to delivery.

You'll work across the data lifecycle, optimise pipelines for performance, and collaborate with Data Engineers, Architects, and BI teams in an agile environment.

Qualifications

• Experience building data pipelines using Azure services.
• Strong SQL and data warehousing knowledge (Kimball).
• Programming in Python, PySpark or Scala.
• Familiarity with Power BI and data integration tech.
• Understanding of DevOps, CI/CD and cloud concepts.
• Scripting in PowerShell and containerisation basics.

Responsibilities

• Develop and maintain data pipelines using Azure services.
• Ingest, transform, and model data from diverse sources.
• Optimise data flows for performance and reliability.
• Support data quality and monitoring processes.
• Collaborate with cross-functional teams in an agile environment.

Skills

SQL

Python

PySpark

Data Modeling

Data Warehousing

DevOps Concepts

Power BI

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

PowerShell

CI/CD

Containerisation

MDS/MDM (Semarchy)

Total Mobile/Repairs

Job description

Azure Data Engineer - 1/2 days onsite

18 month FTC

Summary:

Join a team building a modern Azure-based data platform. This hands‑on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster insights.

Key Responsibilities:

• Develop and maintain data pipelines using Azure services.
• Ingest, transform, and model data from diverse sources.
• Optimise data flows for performance and reliability.
• Support data quality and monitoring processes.
• Collaborate with cross-functional teams in an agile environment.

Collaboration With:

• Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams.

Skills & Experience:

• Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.).
• Strong SQL and experience with data warehousing (Kimball methodology).
• Programming skills in Python, Scala, or PySpark.
• Familiarity with Power BI, SharePoint, and data integration technologies.
• Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS).
• PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions.