Azure Data Engineer

DGH Recruitment Ltd; Greater London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

DGH Recruitment Ltd seeks an Azure Data Engineer to design and implement a modern Azure-based data platform. The role is 18 months, onsite 1–2 days per week, with a hybrid working arrangement.

You will build scalable pipelines using Data Factory, Databricks, Synapse, and related Azure services, ingesting, transforming and delivering data for insights. Strong SQL, Python or PySpark, and experience with BI tools are required.

Qualifications

• Experience designing and building Azure-based data platforms.
• Experience with data warehousing concepts and Kimball methodology.
• Strong SQL and scripting for data operations.
• Familiarity with Power BI and data integration tools.

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

Azure Data Factory

Databricks

Azure Synapse

SQL

Python

PySpark

Power BI

CI/CD

DevOps

Cloud concepts

Tools

PowerShell

SharePoint

Semarchy MDM

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.