Queen Square Recruitment

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Azure) on a 6-month contract, paying £400/day, based in Warwick, UK. Key skills include Azure Data Factory, Snowflake, Databricks, SQL, and Python. Experience in building ETL/ELT pipelines is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date
April 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Warwick, England, United Kingdom
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🧠 - Skills detailed
#Data Ingestion #Data Pipeline #Data Processing #Data Quality #Data Engineering #Databricks #Azure #Cloud #Debugging #ADF (Azure Data Factory) #Snowflake #SQL Queries #SQL (Structured Query Language) #Scala #"ETL (Extract #Transform #Load)" #Azure cloud #Python #Azure Data Factory
Role description
Data Engineer (Azure) 💰 £400/day (Inside IR35) |📍 Warwick, UK (Office-Based) 📅 6-Month Contract Our client, a top global organization, is seeking an experienced Azure Data Engineer to support the development and optimisation of cloud-based data pipelines and analytics platforms. This role focuses on building scalable data solutions using Azure technologies, Snowflake, and Databricks. As a Data Engineer, you will develop and maintain Azure-based data pipelines, integrating multiple data sources and ensuring reliable data processing. You will work with ADF, Databricks, Snowflake, and Python to build scalable and efficient data workflows. Key Responsibilities • Build and maintain Azure Data Factory pipelines • Develop data ingestion and transformation workflows • Work with Snowflake and Databricks data platforms • Write and optimise SQL queries and data models • Develop data processing logic using Python • Debug and troubleshoot data pipeline issues • Ensure data quality and reliability across pipelines • Integrate multiple data sources into Azure environment • Support analytics and reporting data requirements • Collaborate with engineering and business teams Essential Skills & Experience • Strong Azure Data Engineer experience • Expert-level Azure Data Factory (ADF) knowledge • Experience with Snowflake data platform • Databricks experience • Strong SQL skills • Python for data engineering • Data pipeline debugging and optimisation • Experience building ETL/ELT pipelines • Good communication skills • Hands-on delivery experience Desirable Experience • 6–8 years Data Engineering experience • Azure cloud data platform architecture exposure • Performance tuning and optimisation experience • Experience working in enterprise environments If this is relevant to your experience, please apply with your CV and we'll be in touch.