Posted 7 days ago
Description
- The role is responsible for the design, development, and maintenance of scalable data solutions using Microsoft Fabric.
- The role focuses on building end-to-end data pipelines, working with business users and technical teams to deliver analytics-ready datasets using Agile principles.
- The role requires strong expertise in Fabric data engineering capabilities, applying both technical and business knowledge to develop robust, performant, and governed data solutions.
- The role holder is expected to:
- Collaborate with business users and technical teams to understand requirements
- Design and implement data ingestion, transformation, and delivery pipelines
- Ensure performance, and scalability of solutions
- Apply a structured and timely approach to delivery with high quality standards
- Demonstrate strong analytical and problem-solving skills
Role: Microsoft Fabric Data Engineer
Location: London (Hybrid)
Employment: Fulltime
Role Overview
- The role is responsible for the design, development, and maintenance of scalable data solutions using Microsoft Fabric.
- The role focuses on building end-to-end data pipelines, working with business users and technical teams to deliver analytics-ready datasets using Agile principles.
- The role requires strong expertise in Fabric data engineering capabilities, applying both technical and business knowledge to develop robust, performant, and governed data solutions.
- The role holder is expected to:
- Collaborate with business users and technical teams to understand requirements
- Design and implement data ingestion, transformation, and delivery pipelines
- Ensure performance, and scalability of solutions
- Apply a structured and timely approach to delivery with high quality standards
- Demonstrate strong analytical and problem-solving skills
Responsibities
- Design, develop and maintain data pipelines within Microsoft Fabric
- Build and optimise ETL/ELT processes for analytics consumption
- Develop and maintain Fabric Dataflows, Lakehouse and Warehouse
- Ensure data is accessible, reliable and governed across platforms
- Optimise performance and cost of data platform
- Work within Agile teams and participate in sprint ceremonies
Technical Skillset
- Microsoft Fabric (Dataflows, Lakehouse, Warehouse)
- Azure Data Services (Synapse, Data Factory, Data Lake)
- SQL (advanced) and Python/Spark for data transformation
- Strong understanding of data modelling (e.g. star schema)
- Experience building scalable data pipelines for large datasets
- Experience in financial services data environments (desirable)
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