×
Register Here to Apply for Jobs or Post Jobs. X

Lead Data Engineer | Microsoft Fabric | Azure | AI

Job in Oldham, Greater Manchester, OL1, England, UK
Listing for: Intelligent Talent Solutions Ltd
Full Time, Part Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 70000 GBP Yearly GBP 60000.00 70000.00 YEAR
Job Description & How to Apply Below
Lead Data Engineer | Microsoft Fabric | Azure | AI Birmingham Hybrid | 2-3 days per week £60,000 - £70,000  10% bonus  excellent benefits If you enjoy building data platforms rather than simply maintaining them, this could be worth a look. Were supporting a well-established financial services organisation investing heavily in Azure, Microsoft Fabric and AI-driven insight capability. They are at an interesting point in their journey, with an established Azure environment already in place and a clear roadmap centred around Microsoft Fabric and modern analytics.

This is an opportunity to join a small, capable team where your work will have visibility and influence. You wont be a small part of a large machine. Youll help shape the platform, mentor others and contribute to decisions around future architecture and capability. The role combines hands-on engineering with technical leadership and would suit someone who enjoys solving problems, improving platforms and helping define best practice.

The Opportunity Youll play a key role in evolving a modern Azure-native data platform whilst helping lead the move toward a Fabric-first environment. Youll work across:
Microsoft Fabric including Lakehouse, Warehouse and One Lake Azure Data Lake and Synapse environments Data pipelines and ETL / ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers and help shape standards across the wider team.

What You'll Be Doing Designing and building scalable Azure data pipelines Leading migration and adoption of Microsoft Fabric Building and optimising analytics-ready data models Integrating multiple internal and external data sources Supporting Azure Synapse and Data Lake environments Contributing to AI and machine learning-driven initiatives Working closely with business and technical stakeholders Coaching and mentoring team members What We're Looking For You do not need to tick every box.

Were interested in people with strong Azure data engineering fundamentals who want to play a visible role in shaping a modern data platform. Experience around some of the following would be useful:
Azure Data Engineering environments SQL and data modelling ETL / ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure Dev Ops API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary 10% annual bonus 7% employer pension contribution Private medical Income protection Hybrid working Modern Azure and Fabric technology stack Genuine technical influence Long-term progression opportunities Opportunity to shape how AI and data evolve across the business This is a good opportunity for someone who enjoys building things properly and wants to be part of a platform journey rather than simply inheriting BAU work.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary