Fabric Data Engineer
  • England,London,City of London
  • Full Time, Permanent
  • £85,000 - £95,000 per annum
Job Description:
Full job descriptionFabric 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.
Job number 4144659
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