Azure Data Engineer: Build Scalable Data Pipelines

London and Quadrant Housing Trust; City Of London; Hybrid; GBP 49,000 - 57,000; Full time

Benefits offered by this job

Pension scheme

28 days annual leave increasing with‑s

Health plan

Life assurance

Volunteering days

Employee Assistance Programme

Job summary

London and Quadrant Housing Trust is building a modern Azure data platform. You’ll design and implement scalable data pipelines using Data Factory, Databricks and Synapse, delivering reliable data to dashboards and analytics.

Join a hybrid team reporting to the Lead Data Engineer, shaping data architecture and collaborating with architects, analysts and delivery squads to provide trusted insights across the organisation.

Qualifications

• Relevant degree in IT, Computer Science, Data Engineering or related field.
• Experience with Azure data services and data platform components.
• Strong SQL and BI analytics skills.

Responsibilities

• Build and maintain scalable, automated data pipelines using Azure tools.
• Ingest, transform and model data from multiple sources into the enterprise data platform.
• Optimise data flows for performance, reliability and reusability.
• Support data quality, reconciliation and monitoring processes.
• Work autonomously across the full data lifecycle from raw source to insight.

Skills

Azure Data Factory

Databricks

Azure Synapse

Logic Apps

Power BI

SQL Server

Python

PySpark

Scala

Data Modeling

Education

Relevant degree in IT / Computer Science / Data Engineering

Tools

Azure Data Lake

SharePoint

Job description

London and Quadrant Housing Trust is building a modern Azure data platform. You’ll design and implement scalable data pipelines using Data Factory, Databricks and Synapse, delivering reliable data to dashboards and analytics.

Join a hybrid team reporting to the Lead Data Engineer, shaping data architecture and collaborating with architects, analysts and delivery squads to provide trusted insights across the organisation.