Stott and May

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Warwick, UK, for 6 months at a market rate (Inside IR35). Key skills include Azure Data Factory, Databricks, Python, and SQL. A minimum of 6 years of relevant experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 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 Integration #Deployment #"ETL (Extract #Transform #Load)" #Agile #Security #Data Quality #Databases #Documentation #Datasets #Azure #Data Architecture #Data Engineering #Cloud #ADF (Azure Data Factory) #Azure Data Factory #SQL (Structured Query Language) #Data Storage #Debugging #Storage #Data Processing #Python #Data Pipeline #Snowflake #Monitoring #Databricks #Scala
Role description
Job Description Data Engineer Location: Warwick, UK (office based) Day Rate: Market rate (Inside IR35) Duration: 6 months Role description This role is for an experienced Azure Data Engineer to support the design, development and optimisation of data solutions within a modern cloud-based environment. The successful candidate will contribute to building scalable and reliable data pipelines, enabling data-driven decision-making across the organisation. Working within a fast-paced delivery environment, the role offers exposure to cloud technologies and advanced data platforms, supporting the transformation and integration of large and complex datasets. The position plays a key role in ensuring data quality, accessibility and performance across business-critical systems. Key Responsibilities • Design, build and maintain scalable data pipelines using Azure data services • Develop and manage data integration workflows using Azure Data Factory • Perform data transformation and processing using tools such as Databricks and Python • Troubleshoot and debug data pipelines to ensure reliability and performance • Collaborate with stakeholders to understand data requirements and translate them into technical solutions • Optimise data storage and processing using platforms such as Snowflake • Ensure data quality, governance and security standards are maintained • Support deployment and monitoring of data solutions in production environments • Document data processes and maintain technical documentation Key Skills, Knowledge And Experience • Strong experience with Azure data services, including Azure Data Factory • Advanced expertise in Azure Data Factory development and optimisation • Experience working with Snowflake for data warehousing solutions • Hands-on experience with Databricks for large-scale data processing • Proficiency in Python for data engineering tasks • Strong SQL knowledge and experience working with relational databases • Experience in debugging and resolving data pipeline issues • Understanding of data architecture and best practices in data engineering • Good communication skills with the ability to work collaboratively Desirable Skills, Knowledge And Experience • 6 to 8 years of relevant data engineering experience • Exposure to additional cloud data platforms or modern data stack tools • Experience working in agile delivery environments