Data Engineer - Fabric

iO Associates; West of England; Hybrid; GBP 70,000 - 75,000; Full time

Benefits offered by this job

Benefits

Job summary

iO Associates is seeking a Data Engineer with strong Microsoft Fabric expertise to help modernise a data platform. Remote UK with on-site Bristol visits twice per month, offering £70,000–£75,000 plus benefits.

Join a growing Data & Insight team to design scalable data solutions, ETL/ELT pipelines, and data models across Fabric technologies, while supporting data quality and governance across the org.

Qualifications

• Proven experience as a Data Engineer.
• Strong SQL, data modelling, and ETL/ELT development experience.
• Experience with CI/CD and DevOps environments.
• Knowledge of Medallion Architecture (Bronze, Silver, Gold).
• Experience building reusable and scalable data frameworks.
• Understanding of data quality, monitoring, governance, and production support.
• Python and/or PySpark experience.
• Experience with Spark Notebooks.
• SSIS and SSRS experience.
• Experience within professional services or legal environments.

Responsibilities

• Design, develop, and maintain data solutions within Microsoft Fabric.
• Build and optimise ETL/ELT pipelines and data models.
• Work across Fabric technologies including Data Factory, Lakehouse, Warehouse, Notebooks, and Power BI.
• Support data quality, governance, monitoring, and production support activities.
• Contribute to CI/CD and DevOps-driven delivery processes.
• Collaborate with Architects, Analysts, and business stakeholders to deliver high-quality data products.
• Support the ongoing modernisation of the organisation's data platform.

Skills

Microsoft Fabric

SQL & Data Modelling

ETL/ELT development

CI/CD & DevOps

Medallion Architecture

Reusable data frameworks

Data quality & governance

Python or PySpark

Spark Notebooks

SSIS/SSRS

Tools

Spark Notebooks

Job description

Data Engineer
Remote UK - Onsite in Bristol Twice Per Month
£70,000 - £75,000 per annum + Benefits

Our client is a leading international professional services organisation currently investing heavily in data, analytics, and AI. Having successfully established Microsoft Fabric as the foundation of their modern data platform, they are now delivering a wide range of enterprise data products and are looking for a Data Engineer to support the next phase of their data transformation journey.

Working within a growing Data & Insight team, you will play a hands-on role in building scalable data solutions, supporting business-critical reporting and analytics, and helping drive best practices across the organisation. This role is ideally suited to an experienced Data Engineer who can contribute technically whilst also providing guidance and mentorship to other engineers.

Key Responsibilities

• Design, develop, and maintain data solutions within Microsoft Fabric.
• Build and optimise ETL/ELT pipelines and data models.
• Work across Fabric technologies including Data Factory, Lakehouse, Warehouse, Notebooks, and Power BI.
• Support data quality, governance, monitoring, and production support activities.
• Contribute to CI/CD and DevOps-driven delivery processes.
• Collaborate with Architects, Analysts, and business stakeholders to deliver high-quality data products.
• Support the ongoing modernisation of the organisation's data platform.

Skills & Experience

• Proven experience as a Data Engineer.
• Strong hands-on experience with Microsoft Fabric.
• Strong SQL, data modelling, and ETL/ELT development experience.
• Experience working within CI/CD and DevOps environments.
• Knowledge of Medallion Architecture (Bronze, Silver, Gold).
• Experience building reusable and scalable data frameworks.
• Understanding of data quality, monitoring, governance, and production support.
Python and/or PySpark experience.
• Experience with Spark Notebooks.
• SSIS and SSRS experience.
• Experience within professional services or legal environments.

If you’re a Data Engineer with strong Microsoft Fabric expertise and are looking for an opportunity to make a genuine impact within a growing data function, we’d love to hear from you.