Senior Fabric Engineer

Cognizant; Greater London; Hybrid; GBP 85,000 - 110,000; Full time

Job summary

Cognizant in London is seeking a Microsoft Fabric Data Engineer to design, build, and maintain scalable data solutions in a hybrid environment. You will develop end-to-end data pipelines, collaborate with business and tech teams, and ensure governed, analytics-ready datasets.

The role requires strong Fabric data engineering skills, experience with Azure data services, SQL and Python/Spark, and a disciplined, Agile approach to deliver robust data platforms.

Qualifications

• Experience designing data pipelines in Microsoft Fabric.
• Strong knowledge of data ingestion, transformation and delivery for analytics.
• Ability to deliver robust, scalable, governed data solutions using Agile practices.

Responsibilities

• 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

Skills

Analytical thinking

Problem-solving

Collaborative teamwork

Agile principles

Tools

Microsoft Fabric

Azure Synapse

Azure Data Factory

Azure Data Lake

SQL

Python

Spark

Job 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)