Fabric Data Engineer - Up to £95,000+ Benefits

Permanent - Mainly remote with occasional travel to client site

About the Opportunity

We are seeking a talented Fabric Data Engineering Consultant to join a growing Microsoft data and AI consultancy. This is an exciting opportunity for a data professional who enjoys designing modern data platforms, building scalable solutions and helping organisations unlock the value of their data through advanced analytics and cloud technologies.

Working within a collaborative consulting environment, you will play a key role in delivering data transformation projects using modern Microsoft technologies, whilst continuing to develop your expertise across data engineering, analytics, AI and emerging cloud solutions.

Key Responsibilities

• Design, build and optimise data pipelines and ETL processes using Microsoft data technologies.
• Develop scalable solutions for data ingestion, transformation and storage.
• Create efficient, reusable Python code for data engineering workloads.
• Support advanced analytics, machine learning and data modelling initiatives.
• Work closely with stakeholders to deliver business-focused data solutions.
• Research and adopt emerging cloud, data and AI technologies.

Essential Skills & Experience

• Proven experience in Data Engineering.
• Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Fabric and different Microsoft data technologies.
• Exposure to Microsoft Fabric or a strong desire to develop expertise within the Fabric ecosystem.
• Strong Python programming skills focused on data engineering and data processing.
• Understanding of data modelling principles and the Kimball methodology.
• Strong communication and stakeholder engagement skills.

Desirable Qualifications

• DP-600: Fabric Analytics Engineer Associate
• DP-700: Fabric Data Engineer Associate

What's on Offer

• Competitive salary and bonus opportunity
• Private medical insurance
• Life assurance and income protection
• Enhanced pension scheme
• Enhanced family leave and sick pay
• Employee wellbeing support and assistance programme
• Recognition and reward schemes
• Flexible hybrid working model
• Ongoing training and opportunities to develop skills across AI, analytics, and Microsoft technologies.