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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable Microsoft Fabric solutions, including data pipelines, semantic models, and AI-driven data quality controls. Proficient in SQL, T-SQL, and Python for data processing and transformation, with a strong focus on data governance and performance optimization.
Highest-signal resume keywords
Microsoft Fabric Data FactorySQL DevelopmentData WarehousingETL/ELT ProcessesAI-Driven Data Quality
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLT-SQLPythonSparkData FactoryLakehouseWarehouseDataflowsSemantic ModelsETL
Soft Skills
Stakeholder EngagementCollaboration
Tools & Technologies
Microsoft FabricAzure SynapsePower BIMicrosoft CopilotAzure AI ServicesMicrosoft PurviewAzure DevOps
Industry Keywords
Financial DataData GovernanceData QualityDimensional ModellingRegulated Data
Tech Stack
Tools & technologiesAzureETLPythonSparkSQL
About the role
Key responsibilities & impact- Support GLAS's transition from Azure Synapse to Microsoft Fabric
- Design, build and support secure, scalable and governed Microsoft Fabric solutions
- Build Data Factory pipelines, Lakehouses, Warehouses, Notebooks, Dataflows, Semantic Models and reusable data products
- Apply AI-assisted engineering and automation to accelerate migration, improve productivity, enhance testing and validation, and deliver modern data solutions
- Establish data quality, governance, lineage, validation, metadata, relationships and semantic structures to make enterprise data AI-ready
- Develop trusted data products and business ontologies for Power BI, advanced analytics, Microsoft Copilot, AI agents and future AI-enabled solutions
- Work with business stakeholders, system owners, BI developers and technology teams across solution design, development, testing, deployment, monitoring, documentation and production support
- Support migration and modernisation of data pipelines, storage and reporting workloads from Azure Synapse to Microsoft Fabric
- Implement scalable Bronze, Silver and Gold data-layer architectures and engineering patterns
- Develop, optimise and troubleshoot SQL and T-SQL in pipelines, transformations, warehouses and reporting solutions
- Design and maintain governed semantic models and curated datasets
- Implement validation, reconciliation, monitoring and lineage processes
- Support intelligent automation, AI-driven data-quality controls and governed AI use cases
- Support Fabric workspaces, capacities, deployments, gateways, monitoring and performance management
- Implement role-based access controls, row-level security and appropriate data access controls
- Contribute to source control, CI/CD pipelines, automated testing and controlled Azure DevOps deployments
- Monitor platform performance, investigate issues and maintain technical documentation
- Translate business and reporting requirements into scalable and maintainable data solutions
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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