Data Engineer: Fabric Pipelines, Models & Insights

Jellycat; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Jellycat is seeking a Data Engineer to own and evolve our data platform in the Fabric ecosystem. You will build scalable data pipelines from D365 F&O and eCommerce data, modeling data with Delta tables and applying medallion architecture.

You will work with analytics engineers, data analysts and data scientists to deliver clean, well-documented datasets, while maintaining data quality and governance. This hands-on role emphasizes collaboration and continuous improvement.

Qualifications

• 2+ years of experience as a Data Engineer or similar role.
• Proficient in PySpark, Python and SQL for data ingestion, transformation and modelling.
• Hands-on with modern cloud data platforms and Fabric ecosystem.
• Experience with Git, CI/CD and code reviews in collaborative teams.
• Strong data warehousing, ELT patterns and medallion architecture knowledge.

Responsibilities

• Design, build and maintain scalable data pipelines across Fabric and source systems.
• Develop robust data models using Delta tables and Lakehouse concepts.
• Collaborate with analysts and data scientists to deliver reusable datasets.
• Implement data quality checks and monitor pipelines for issues.
• Champion data governance, lineage, documentation and access controls.

Skills

PySpark

Python

SQL

Git

CI/CD

Microsoft Fabric

Data modelling

ETL/ELT

Tools

Azure DevOps

GitHub

Databricks

OneLake/Delta tables

Job description

Jellycat is seeking a Data Engineer to own and evolve our data platform in the Fabric ecosystem. You will build scalable data pipelines from D365 F&O and eCommerce data, modeling data with Delta tables and applying medallion architecture.

You will work with analytics engineers, data analysts and data scientists to deliver clean, well-documented datasets, while maintaining data quality and governance. This hands-on role emphasizes collaboration and continuous improvement.