

DW Search
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Microsoft Fabric / Azure) on a 6-month contract, paying £600–£700/day, hybrid in London. Requires strong Microsoft Fabric and Azure experience, advanced Python, SQL, and knowledge of data mesh architecture.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
744
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🗓️ - Date
April 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #Synapse #Airflow #AI (Artificial Intelligence) #GIT #Python #Data Engineering #dbt (data build tool) #Scala #SQL (Structured Query Language) #Azure #Data Architecture #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #Datasets
Role description
Senior Data Engineer (Microsoft Fabric / Azure)
Contract | 6 Months | £600–£700/day (Outside IR35)
London | Hybrid
DW Search
DW Search is partnered with a leading global investment platform undergoing a large-scale data transformation, moving toward a federated, data mesh architecture.
We are looking for a Data Engineer with strong Microsoft Fabric and Azure experience to support the build-out of a modern, scalable data platform. This role will focus on internal, desk-facing projects where data is directly used to drive investment and operational decision-making.
The Role
You will join a small, high-impact data team responsible for delivering production-grade data pipelines and enabling domain-led data ownership within a federated model.
This is not a central reporting function. You will be working closely with business stakeholders, building data products and pipelines that are actively used by investment and operational teams.
Key Responsibilities
• Design and build scalable data pipelines using Microsoft Fabric and Azure
• Develop robust ELT workflows to transform raw data into analytics-ready datasets
• Work directly with internal teams to deliver data solutions aligned to business needs
• Contribute to the transition toward a data mesh / federated architecture
• Optimise performance, scalability, and reliability of data platforms
• Implement best practices across data modelling, governance, and pipeline design
• Support analytics and AI use cases by ensuring high-quality, accessible data
Required Experience
• Strong experience as a Senior Data Engineer in production environments
• Hands-on experience with Microsoft Fabric (essential)
• Strong Azure experience (Data Factory, Synapse, or similar)
• Advanced Python for data engineering and pipeline development
• Strong SQL and data modelling experience (dbt preferred)
• Experience with orchestration tools such as Airflow (or similar)
• Solid understanding of modern data architecture principles (data mesh exposure beneficial)
• Experience with CI/CD, Git-based workflows, and infrastructure as code
Why Apply
• High-impact, desk-facing work directly tied to commercial outcomes
• Opportunity to work on a genuine data mesh transformation
• Strong autonomy within a small, high-performing team
• Fast-paced environment with meaningful ownership from day one
Senior Data Engineer (Microsoft Fabric / Azure)
Contract | 6 Months | £600–£700/day (Outside IR35)
London | Hybrid
DW Search
DW Search is partnered with a leading global investment platform undergoing a large-scale data transformation, moving toward a federated, data mesh architecture.
We are looking for a Data Engineer with strong Microsoft Fabric and Azure experience to support the build-out of a modern, scalable data platform. This role will focus on internal, desk-facing projects where data is directly used to drive investment and operational decision-making.
The Role
You will join a small, high-impact data team responsible for delivering production-grade data pipelines and enabling domain-led data ownership within a federated model.
This is not a central reporting function. You will be working closely with business stakeholders, building data products and pipelines that are actively used by investment and operational teams.
Key Responsibilities
• Design and build scalable data pipelines using Microsoft Fabric and Azure
• Develop robust ELT workflows to transform raw data into analytics-ready datasets
• Work directly with internal teams to deliver data solutions aligned to business needs
• Contribute to the transition toward a data mesh / federated architecture
• Optimise performance, scalability, and reliability of data platforms
• Implement best practices across data modelling, governance, and pipeline design
• Support analytics and AI use cases by ensuring high-quality, accessible data
Required Experience
• Strong experience as a Senior Data Engineer in production environments
• Hands-on experience with Microsoft Fabric (essential)
• Strong Azure experience (Data Factory, Synapse, or similar)
• Advanced Python for data engineering and pipeline development
• Strong SQL and data modelling experience (dbt preferred)
• Experience with orchestration tools such as Airflow (or similar)
• Solid understanding of modern data architecture principles (data mesh exposure beneficial)
• Experience with CI/CD, Git-based workflows, and infrastructure as code
Why Apply
• High-impact, desk-facing work directly tied to commercial outcomes
• Opportunity to work on a genuine data mesh transformation
• Strong autonomy within a small, high-performing team
• Fast-paced environment with meaningful ownership from day one






