Azure Data Engineer — Modern Data Platform (Hybrid)

Harnham; Nottingham; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Benefits package

Hybrid work model

Job summary

Harnham is recruiting a Data Engineer in the UK, with a hybrid Birmingham-based role (2 days per month on site). You will join a major data transformation journey to build a modern Azure-based data platform and take ownership of end-to-end data engineering projects that support reporting, analytics, self-service access and future AI initiatives.

You will design and deliver data solutions across business functions, developing reusable data services, scalable models, and robust ETL/ELT pipelines

Qualifications

• Design and deliver ETL/ELT data pipelines from requirements to production.
• Develop scalable data models and data products using Azure technologies.
• Optimize data pipelines for performance, quality and availability.
• Support enterprise ontology modeling to connect data domains.

Responsibilities

• Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment.
• Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies.
• Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability.
• Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains.

Skills

Azure data engineering

ETL/ELT pipelines

SQL modelling

CI/CD practices

Job description

Harnham is recruiting a Data Engineer in the UK, with a hybrid Birmingham-based role (2 days per month on site). You will join a major data transformation journey to build a modern Azure-based data platform and take ownership of end-to-end data engineering projects that support reporting, analytics, self-service access and future AI initiatives.

You will design and deliver data solutions across business functions, developing reusable data services, scalable models, and robust ETL/ELT pipelines