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Salary
≈ $48k – $76k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Oct 30, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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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