Data Engineer - Hybrid, 35-Hour Week Azure Data Platform

Nottingham Building Society; Nottingham; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive Package

Health & Wellbeing

Work-Life Balance

Career Growth

Inclusive Culture

Giving Back

Job summary

Nottingham Building Society is investing in a modern data platform on Microsoft Fabric and Azure. As a Data Engineer, you will design, build and operate scalable data solutions, enabling analytics, regulatory reporting and AI-driven insights.

You will join a collaborative team and work with stakeholders across the business to unlock data value, improve governance and deliver high-quality data products for members and colleagues.

Qualifications

• Strong engineering skills in SQL, Python and PySpark for scalable data solutions.
• Experience with cloud-based data platforms, ideally in Azure.
• Hands-on experience with Microsoft Fabric technologies like OneLake and Lakehouse.
• Knowledge of data modelling, ELT/ETL design, Delta Lake principles and data quality.

Responsibilities

• Build and operate a scalable data platform using Microsoft Fabric, Azure and Power BI.
• Create robust data ingestion and transformation pipelines from internal systems and partners.
• Design Lakehouse, Warehouse and Delta Lake architectures for analytics and reporting.
• Deliver analytics-ready data assets and semantic models for self-service BI and regulatory reporting.
• Develop automated deployment pipelines and CI/CD practices with DevOps.

Skills

SQL

Python

PySpark

Tools

Microsoft Fabric

Azure

Power BI

Job description

Nottingham Building Society is investing in a modern data platform on Microsoft Fabric and Azure. As a Data Engineer, you will design, build and operate scalable data solutions, enabling analytics, regulatory reporting and AI-driven insights.

You will join a collaborative team and work with stakeholders across the business to unlock data value, improve governance and deliver high-quality data products for members and colleagues.