

Infused Solutions
Azure Data Engineer – Contracvt Outside IR35 – UK Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a 3-month contract (Outside IR35), offering a negotiable rate. Key skills include Azure Data Factory, Azure Data Lake, ETL development, Python, SQL, and experience with data warehousing. Remote work available for UK-based candidates.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 28, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#Data Warehouse #Deployment #Azure #ADF (Azure Data Factory) #Data Lake #Data Engineering #Data Pipeline #Cloud #Data Integration #Databricks #DevOps #Python #SQL (Structured Query Language) #Azure Data Factory #Azure SQL #Synapse #"ETL (Extract #Transform #Load)" #Azure Data Platforms #Spark (Apache Spark) #Scala #Data Architecture
Role description
Contract Azure Data Engineer
Location: UK (Remote)
Contract: Initial 3 months (Outside IR35)
Rate: £Negotiable
Start Date: Immediate (Interview slots available)
Overview
We are currently seeking an experienced Azure Data Engineer to join a fast-paced project on a fully remote basis. This is an exciting opportunity to work on building and optimising scalable data platforms within a cloud-first environment.
Key Responsibilities
• Design, build, and maintain scalable data pipelines
• Develop and manage ETL processes across Azure data platforms
• Work with Azure Data Factory, Azure Data Lake, and Azure SQL
• Collaborate with stakeholders to integrate data from multiple sources
• Support data warehouse development and optimisation
• Implement best practices across data engineering and pipeline performance
• Contribute to CI/CD pipelines and deployment processes
Required Skills & Experience
• Strong experience with Azure Data Factory, Azure Data Lake, and Azure SQL
• Solid background in ETL development and data pipeline engineering
• Proficiency in Python and SQL
• Experience with Spark and Databricks
• Strong understanding of data warehousing concepts
• Experience building and maintaining scalable data architectures
Desirable Skills
• Experience with Azure Synapse
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with data integration and orchestration across multiple systems
Additional Information
• Outside IR35
• Fully remote (UK-based candidates only)
• Immediate start available
• Fast interview process
Contract Azure Data Engineer
Location: UK (Remote)
Contract: Initial 3 months (Outside IR35)
Rate: £Negotiable
Start Date: Immediate (Interview slots available)
Overview
We are currently seeking an experienced Azure Data Engineer to join a fast-paced project on a fully remote basis. This is an exciting opportunity to work on building and optimising scalable data platforms within a cloud-first environment.
Key Responsibilities
• Design, build, and maintain scalable data pipelines
• Develop and manage ETL processes across Azure data platforms
• Work with Azure Data Factory, Azure Data Lake, and Azure SQL
• Collaborate with stakeholders to integrate data from multiple sources
• Support data warehouse development and optimisation
• Implement best practices across data engineering and pipeline performance
• Contribute to CI/CD pipelines and deployment processes
Required Skills & Experience
• Strong experience with Azure Data Factory, Azure Data Lake, and Azure SQL
• Solid background in ETL development and data pipeline engineering
• Proficiency in Python and SQL
• Experience with Spark and Databricks
• Strong understanding of data warehousing concepts
• Experience building and maintaining scalable data architectures
Desirable Skills
• Experience with Azure Synapse
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with data integration and orchestration across multiple systems
Additional Information
• Outside IR35
• Fully remote (UK-based candidates only)
• Immediate start available
• Fast interview process





