Data Engineer: Fabric & AI Data Pipelines

Grant Thornton UK LLP

Sheffield

Hybrid

GBP 65,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Flexible working options

Job summary

Grant Thornton UK LLP is looking for a Data Engineer to join the Data Architecture team. You will build and run data pipelines in Fabric, migrate legacy ETL/ELT to Fabric, and deliver structured datasets for Power BI used by analysts.

You’ll enable analytics, AI readiness and secure data governance across core systems. You’ll work with Python, PySpark, and SQL to ingest and transform data, maintain data models, and collaborate with stakeholders to ensure reliable, well-documented pipelines and

Qualifications

  • Practical experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse and Notebooks) or Databricks.
  • Proficiency in Python, PySpark and SQL for data engineering.
  • Understanding of data modelling, warehousing and ETL/ELT principles.
  • Working knowledge of Power BI and version control (e.g., Git/DevOps).
  • Awareness of data governance, security and compliance practices.

Responsibilities

  • Build and run data pipelines and notebooks in Fabric using Data Factory, Lakehouse, Python, PySpark and SQL.
  • Ingest data from core systems such as Workday, Dynamics 365, Business World and SharePoint.
  • Create and maintain data structures in Fabric Warehouse and Lakehouse; deliver certified datasets for Power BI reuse.
  • Prepare governed data for AI applications, including retrieval through RAG and MCP; convert PDFs into structured, searchable data.
  • Apply data classification and access-control standards to keep client and firm data separate.

Skills

Microsoft Fabric
Databricks
Python
PySpark
SQL
Power BI
Git/DevOps
Data governance

Tools

Azure Data Factory
Azure Data Lake
SQL Server

Job description

Grant Thornton UK LLP is looking for a Data Engineer to join the Data Architecture team. You will build and run data pipelines in Fabric, migrate legacy ETL/ELT to Fabric, and deliver structured datasets for Power BI used by analysts.

You’ll enable analytics, AI readiness and secure data governance across core systems. You’ll work with Python, PySpark, and SQL to ingest and transform data, maintain data models, and collaborate with stakeholders to ensure reliable, well-documented pipelines and

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