Focuses on connecting top talent with projects in a range of high-demand sectors, including energy and infrastructure.
Specializes in sourcing professionals for large-scale projects, from civil engineering to sustainable energy.
With years of experience, the company has become a trusted partner for businesses in the construction, utilities, and transport sectors.
Offers expert recruitment for niche markets, including water resources, industrial, and government roles.
A go-to recruitment provider for both permanent and contract staffing solutions for major engineering projects.
Successfully supports international clients and projects, bringing world-class talent to both local and global markets.
About the client
About the client
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Role
Description
Requirements
azure
databricks
python
git
data warehousing
10+ years
*Please note that this role requires security clearance due to the nature of the project
Azure/Python/SQL/ELT experience
Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability.
Proficient with version control systems such as Git, including branching strategies and CI/CD integration.
Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures.
Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the Azure ecosystem.
Experience working within Agile delivery environments, collaborating closely with cross-functional teams to deliver iterative, high-quality solutions.
Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications.
Solid understanding of data quality frameworks, data governance practices, and implementing automated testing/validation within pipelines.
Hands-on experience with SQL and NoSQL database technologies, with strong query optimisation skills.
Demonstrable experience designing, developing, and maintaining large-scale datasets and complex data pipelines in cloud environments.
Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performance tuning, and (ideally) relevant Databricks certifications.
10+ years’ experience in Data Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions.
Benefits
£550 - £575 per day Inside IR35
Hybrid role (up to 3 times a week in London)
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
security clearance required due to the nature of the project