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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 maintaining enterprise data solutions using Microsoft Fabric, with a strong focus on building scalable ETL/ELT pipelines and implementing data quality frameworks. Proficient in developing data models and Power BI dashboards to support business reporting.
Highest-signal resume keywords
Microsoft FabricSQLPythonPower BIMedallion Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Ingestion PipelinesETL ProcessesData Quality FrameworksData ModelsSemantic LayersLakehouse ArchitectureREST API IntegrationDAXPySparkDataflows Gen2
Soft Skills
Excellent Communication Skills
Tools & Technologies
Power BIMicrosoft FabricOneLakeAzureEntra IDKey Vault
Industry Keywords
Data SolutionsData GovernanceData TransformationTechnical DocumentationCollaboration
Tech Stack
Tools & technologiesAzureETLPySparkPythonSQLVault
About the role
Key responsibilities & impact- Design, build and maintain enterprise data solutions using Microsoft Fabric
- Develop scalable data ingestion pipelines from APIs, databases and file-based sources
- Build and maintain Lakehouse architectures using the Medallion (Bronze, Silver and Gold) approach
- Develop robust data models and semantic layers to support business reporting
- Create and maintain Power BI semantic models and dashboards
- Implement data quality, validation and reconciliation frameworks
- Design secure, governed data solutions including Row-Level Security and access controls
- Build and maintain PySpark notebooks for data transformation
- Develop SQL and Python-based ETL/ELT processes
- Configure and maintain Fabric workspaces, OneLake environments and deployment pipelines
- Work closely with solution architects to implement scalable platform designs
- Produce technical documentation and engineering standards
- Collaborate with UK-based stakeholders and delivery teams
- Support future client projects across the TXP Data & AI Practice
Requirements
What you’ll need- Strong commercial experience with Microsoft Fabric
- Experience with Fabric Data Factory, Dataflows Gen2, Lakehouse and OneLake
- Strong SQL skills
- Strong Python and/or PySpark experience
- Experience designing enterprise data models
- Strong understanding of Medallion Architecture
- Experience building scalable ETL/ELT pipelines
- REST API integration experience
- Experience implementing data quality and reconciliation processes
- Solid Power BI experience, including semantic modelling and DAX
- Understanding of Azure fundamentals, including Entra ID and Key Vault
- Experience working independently on complex technical projects
- Excellent communication skills in English
Benefits
Comp & perks- Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
- A culture in which we don’t criticise failure but ensure we learn from our mistakes
- An Agile environment where your ideas are welcome
- The possibility to grow and experience different projects
- Ongoing Training & Mentoring
- The possibility to travel
