Data Engineer: Fabric Pipelines & AI-Ready Data Platform

Grant Thornton UK LLP; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Flexible working

Job summary

Grant Thornton UK LLP is seeking a Data Engineer to join the Data Architecture team. You will build and run data pipelines and platforms to keep data secure, reliable, and ready for analytics, AI and self-service reporting.

You’ll migrate to Microsoft Fabric and establish foundations for analytics, with guidance from the Head of Data Architecture. Day to day you’ll ingest data from core systems, create validated datasets for Power BI, and ensure governance and security across data products while

Qualifications

• Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Notebooks) or Databricks.
• Proficiency in Python, PySpark and SQL for data engineering.
• Knowledge of data modelling, warehousing and ETL/ELT principles.
• Awareness of data governance, security and compliance; ability to communicate with technical and non-technical colleagues.

Responsibilities

• Build and run data pipelines and notebooks in Fabric or Databricks.
• Ingest data from core systems and deliver certified datasets for Power BI.
• Move and redesign ETL/ELT processes; ensure data quality and governance.
• Prepare data for AI use, including retrieval and structuring for searchability.
• Maintain version control, CI/CD and automated testing for pipelines.

Skills

Python

PySpark

SQL

data pipelines

data modelling

ETL/ELT

Power BI

Git/DevOps

data governance

security/compliance

Tools

Microsoft Fabric

Databricks

Power BI

Git

Job description

Grant Thornton UK LLP is seeking a Data Engineer to join the Data Architecture team. You will build and run data pipelines and platforms to keep data secure, reliable, and ready for analytics, AI and self-service reporting.

You’ll migrate to Microsoft Fabric and establish foundations for analytics, with guidance from the Head of Data Architecture. Day to day you’ll ingest data from core systems, create validated datasets for Power BI, and ensure governance and security across data products while