

Queen Square Recruitment
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a 6-month rolling contract, based in Warwick, UK, with a pay rate of £350 per day. Key skills include Azure Data Factory, Snowflake, Databricks, and Python, with 6-8 years of data engineering experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
350
-
🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
Warwick, England, United Kingdom
-
🧠 - Skills detailed
#Data Engineering #Compliance #Automation #Data Wrangling #Data Governance #Azure #Data Integration #Snowflake #Databricks #Data Architecture #Scala #Python #Azure Data Platforms #Data Quality #Datasets #Security #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Azure Data Factory #Debugging #Cloud #ADF (Azure Data Factory) #Data Pipeline
Role description
Azure Data Engineer – Contract (Office-Based, Warwick)
📍 Location: Warwick, UK (Office-Based)
💷 Rate: £350 per day (Inside IR35)
📅 Duration: 6-Month Rolling Contract
About the Opportunity
Our client, a top global organization, is seeking a talented and experienced Azure Data Engineer to join a fast-paced data and analytics team on a long-term contract assignment. This role will focus on building and optimizing scalable data solutions within the Azure ecosystem, enabling business-critical insights and decision-making across multiple data domains.
You’ll work on data integration, transformation, and pipeline development using modern Azure data tools such as Azure Data Factory (ADF), Databricks, Snowflake, and Python — supporting advanced analytics and reporting capabilities.
Key Responsibilities
• Design, build, and maintain Azure-based data pipelines and ETL processes using Azure Data Factory (ADF).
• Work with large, complex datasets to ensure data quality, reliability, and performance.
• Integrate data from multiple sources into Snowflake and Azure data platforms.
• Develop and optimize data workflows and transformations in Databricks.
• Use Python for automation, data wrangling, and pipeline orchestration.
• Debug and troubleshoot data issues, ensuring smooth and reliable data flow.
• Collaborate closely with data architects, analysts, and stakeholders to deliver robust data solutions.
• Ensure all solutions adhere to data governance, security, and compliance best practices.
Essential Skills & Experience:
• Proven experience as a Data Engineer, ideally within the Azure ecosystem.
• Expert-level proficiency with Azure Data Factory (ADF).
• Strong knowledge of Snowflake, Databricks, and Python for data transformation and automation.
• Solid understanding of SQL for querying, performance tuning, and optimization.
• Experience debugging and resolving data pipeline or transformation issues.
• Excellent communication and collaboration skills for working with cross-functional teams.
Desirable:
• 6–8 years of experience in data engineering or related data-driven roles.
• Exposure to data modelling, cloud security, or advanced analytics environments.
If this is relevant to your experience, please apply with your CV and we will be in touch shortly.
Azure Data Engineer – Contract (Office-Based, Warwick)
📍 Location: Warwick, UK (Office-Based)
💷 Rate: £350 per day (Inside IR35)
📅 Duration: 6-Month Rolling Contract
About the Opportunity
Our client, a top global organization, is seeking a talented and experienced Azure Data Engineer to join a fast-paced data and analytics team on a long-term contract assignment. This role will focus on building and optimizing scalable data solutions within the Azure ecosystem, enabling business-critical insights and decision-making across multiple data domains.
You’ll work on data integration, transformation, and pipeline development using modern Azure data tools such as Azure Data Factory (ADF), Databricks, Snowflake, and Python — supporting advanced analytics and reporting capabilities.
Key Responsibilities
• Design, build, and maintain Azure-based data pipelines and ETL processes using Azure Data Factory (ADF).
• Work with large, complex datasets to ensure data quality, reliability, and performance.
• Integrate data from multiple sources into Snowflake and Azure data platforms.
• Develop and optimize data workflows and transformations in Databricks.
• Use Python for automation, data wrangling, and pipeline orchestration.
• Debug and troubleshoot data issues, ensuring smooth and reliable data flow.
• Collaborate closely with data architects, analysts, and stakeholders to deliver robust data solutions.
• Ensure all solutions adhere to data governance, security, and compliance best practices.
Essential Skills & Experience:
• Proven experience as a Data Engineer, ideally within the Azure ecosystem.
• Expert-level proficiency with Azure Data Factory (ADF).
• Strong knowledge of Snowflake, Databricks, and Python for data transformation and automation.
• Solid understanding of SQL for querying, performance tuning, and optimization.
• Experience debugging and resolving data pipeline or transformation issues.
• Excellent communication and collaboration skills for working with cross-functional teams.
Desirable:
• 6–8 years of experience in data engineering or related data-driven roles.
• Exposure to data modelling, cloud security, or advanced analytics environments.
If this is relevant to your experience, please apply with your CV and we will be in touch shortly.






