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
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