Azure Data Engineer
Posted 1 day ago by Opus Recruitment Solutions
£450 Per day
Outside
Hybrid
Liverpool
Summary: The Azure Data Engineer role involves designing, developing, and managing data pipelines using Azure Data Factory, with a focus on integrating multiple data sources into Azure SQL. The position requires strong Python skills for data transformation and validation, playing a crucial role in modernizing data processes within the organization. The engineer will collaborate with various teams to ensure data integrity and performance while contributing to the overall data infrastructure. This is a hybrid position based in Liverpool, outside of IR35 regulations.
Key Responsibilities:
- Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory
- Model, manage, and optimise datasets within Azure SQL
- Use Python and Pandas for data preparation, transformation, and quality checks
- Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions
- Maintain high standards around data integrity, reliability, and performance
- Contribute to modernising data tools, workflows, and overall data infrastructure
Key Skills:
- Strong hands-on experience with Azure Data Factory and cloud-based data orchestration
- Solid Azure SQL knowledge, including schema design and performance tuning
- Proficiency in Python, with practical experience using Pandas for data manipulation
- Comfortable delivering in environments where onboarding is minimal and pace is high
- Background working with product-led or digitally focused teams is beneficial
- Able to start immediately
Salary (Rate): £450/day
City: Liverpool
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool
You’ll be designing, developing, and managing data pipelines across Azure, primarily using Azure Data Factory to integrate multiple data sources and deliver streamlined workflows into Azure SQL. A strong grasp of Python will be essential as you'll be transforming, cleansing, and validating complex datasets to ensure they’re accurate, efficient, and ready for analytics and product teams to leverage. This position plays a key role in supporting ongoing modernisation efforts by strengthening the way data is collected, processed, and made available across the business.
Responsibilities
- Build, maintain, and improve scalable ETL/ELT pipelines using Azure Data Factory
- Model, manage, and optimise datasets within Azure SQL
- Use Python and Pandas for data preparation, transformation, and quality checks
- Work closely with engineering, product, and analytics teams to understand data requirements and deliver robust solutions
- Maintain high standards around data integrity, reliability, and performance
- Contribute to modernising data tools, workflows, and overall data infrastructure
What We’re Looking For
- Strong hands-on experience with Azure Data Factory and cloud-based data orchestration
- Solid Azure SQL knowledge, including schema design and performance tuning
- Proficiency in Python, with practical experience using Pandas for data manipulation
- Comfortable delivering in environments where onboarding is minimal and pace is high
- Background working with product-led or digitally focused teams is beneficial
- Able to start immediately
If this is a role that suits your skillset, can work onsite 2 days per week and immediately available then please apply for the job advert directly or reach out to myself at (url removed).
Azure Data Engineer | Outside IR35 | £400 - £450 | 6 months | Hybrid Liverpool