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About the Role
GLAS is transitioning from Azure Synapse to Microsoft Fabric, and this role will be instrumental in supporting the development of a secure, scalable, and governed enterprise data platform. You will design, build, and support Microsoft Fabric solutions, leveraging AI-assisted engineering techniques and automation to accelerate migration and enhance productivity.
Responsibilities
- Support the migration and modernisation of data pipelines, storage and reporting workloads from Azure Synapse to Microsoft Fabric.
- Build and maintain Fabric Data Factory pipelines, Lakehouses, Warehouses, Notebooks, Dataflows and reusable data products.
- Implement scalable data architectures and engineering patterns, including Bronze, Silver and Gold data layers.
- Develop, optimise and troubleshoot SQL and T-SQL used within data pipelines, transformations, warehouses and reporting solutions.
- Design and maintain governed Semantic Models and curated datasets for Power BI and downstream consumers.
- Implement validation, reconciliation, monitoring and lineage processes to ensure data accuracy, consistency and trust.
- Support intelligent automation, AI-driven data quality controls and governed AI use cases using trusted enterprise data.
- Support workspace, capacity, deployment, gateway, monitoring and performance management activities.
- Implement and maintain role-based access controls, row-level security and appropriate data access controls.
- Contribute to source control, CI/CD pipelines, automated testing and controlled deployments using Azure DevOps.
- Monitor platform performance, investigate issues and maintain technical documentation.
- Translate business and reporting requirements into scalable and maintainable data solutions.
Requirements
- Hands-on experience with Fabric Data Factory, Lakehouse, Warehouse, OneLake, Notebooks, Dataflows and Semantic Models.
- Experience supporting or delivering migrations from Azure Synapse to Microsoft Fabric.
- Strong SQL and T-SQL development, optimisation and troubleshooting skills.
- Experience building data processing and transformation solutions using Python and Spark.
- Strong understanding of ETL/ELT, data warehousing, dimensional modelling, orchestration and production support.
- Experience designing reusable semantic models, reporting datasets and data structures for analytics consumers.
- Experience implementing validation, monitoring, lineage, metadata and governed data access controls.
- Experience managing Fabric workspaces, capacities, security and performance optimisation.
- Experience with source control, CI/CD and automated deployment practices.
- Ability to engage effectively with both technical and non-technical stakeholders.
- Experience working with regulated financial data, finance reporting, debt capital markets, loan administration or similar domains.
- Experience with Microsoft Copilot, Fabric data agents, Azure AI services, retrieval-augmented generation or related enterprise AI capabilities.
- Experience with Microsoft Purview, data cataloguing, master data management and enterprise data-quality frameworks.
- Experience applying analytical or AI techniques to data quality, anomaly detection or operational automation.
- Understanding of Fabric capacity management and cost-efficient solution design.
Skills
- Microsoft Fabric
- Azure Synapse
- SQL
- T-SQL
- Python
- Spark
- ETL/ELT
- Data Warehousing
- Dimensional Modelling
- Orchestration
- Production Support
- Power BI
- Semantic Models
- Data Quality
- Data Governance
- DevOps
- CI/CD
- Microsoft Copilot
- Azure AI services
- Microsoft Purview
Location
- London
Work Type
- Hybrid Working
Salary/Compensations
- Negotiable
Benefits
- Base salary + bonus
- Hybrid working
- 28 days annual leave + bank holidays
- Long service award
- Private Medical Insurance
- Private pension plan
- Life insurance plan
- Employee Assistance Program (EAP)
- Season ticket loan scheme
- Yearly eye examination
- Gym membership discount
- Career development and study support
About the Company
- GLAS is an international provider of institutional debt administration services, serving lenders, borrowers, issuers, and advisers offering a global platform across Loan Agency and related services, Capital Markets and Restructuring.
- GLAS’ vision is to be recognised as the best-in-class independent, non-creditor, conflict-free provider of institutional debt administration services, enabling global clients and counterparties to achieve successful outcomes on their transactions.
- The business currently comprises c.500 employees who deliver a solution-based, innovative service, ensuring GLAS is the preferred global partner of choice. GLAS has a blue-chip customer base developed over many years; select clients include Apollo, Blackstone, CVC, Deutsche Bank and Goldman Sachs. GLAS has been recognised as the premier independent provider of loan agency and bond trustee services with a portfolio of over $800 billion assets across its global platform.
- The company is headquartered in London with offices in Paris, Frankfurt, Madrid, New York, New Jersey, Sydney, Melbourne, Brisbane, Singapore, Dubai, Hong Kong, Milan and Rome.
- Our people are at the heart of GLAS's success. We are committed to attracting, developing and retaining talented individuals in an environment built on inclusivity, diversity and opportunity. We believe that diverse perspectives drive innovation, encourage meaningful discussion and help us deliver the best outcomes for our clients.
- We are passionate about supporting our employees' career development and long-term success. Our culture is underpinned by our core values of Excellence, Client Centricity, Collaboration and Innovation, which guide the way we work, support our clients and achieve results together.
- At GLAS, we are committed to creating an environment where everyone has the opportunity to contribute, develop and thrive, regardless of background or experience. We believe that fostering an inclusive workplace strengthens our business, our people and the service we provide to our clients.