Data Engineer
CV-LibraryNewcastle upon Tyne, Tyne and WearcontractPosted: 22 June 2026
Apply NowLocation: Newcastle upon Tyne (primarily remote, occasional travel)
Contract Type: Contract (Outside IR35)
Day Rate: Up to £800 per day
The Opportunity
We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines.
You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning.
Role responsibilities:
Lead the design and delivery of robust, scalable data platforms and pipelines
Work alongside client teams to understand requirements and translate them into effective technical solutions
Build and optimise data ingestion, transformation, and storage processes
Develop integrated data models to enable reporting, analytics, and AI use cases
Provide technical leadership and guidance to engineers within the delivery team
Contribute to architectural decisions and best practices across the project lifecycleKey Skills & Experience we're looking for:
Strong background in data engineering and software development
Proven experience working with Databricks (essential)
Hands-on expertise with tools such as Python, PySpark, Spark, and SQL
Experience building and maintaining data pipelines and data platforms
Solid understanding of data modelling and data architecture principles
Experience working with cloud platforms (AWS, Azure, or GCP)
Comfortable working in client-facing environmentsWhy Apply?
Great flexible working arrangement
Opportunity to work on complex, high-impact data projects
Collaborative, engineering-led culture with a focus on quality
Contract Type: Contract (Outside IR35)
Day Rate: Up to £800 per day
The Opportunity
We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines.
You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning.
Role responsibilities:
Lead the design and delivery of robust, scalable data platforms and pipelines
Work alongside client teams to understand requirements and translate them into effective technical solutions
Build and optimise data ingestion, transformation, and storage processes
Develop integrated data models to enable reporting, analytics, and AI use cases
Provide technical leadership and guidance to engineers within the delivery team
Contribute to architectural decisions and best practices across the project lifecycleKey Skills & Experience we're looking for:
Strong background in data engineering and software development
Proven experience working with Databricks (essential)
Hands-on expertise with tools such as Python, PySpark, Spark, and SQL
Experience building and maintaining data pipelines and data platforms
Solid understanding of data modelling and data architecture principles
Experience working with cloud platforms (AWS, Azure, or GCP)
Comfortable working in client-facing environmentsWhy Apply?
Great flexible working arrangement
Opportunity to work on complex, high-impact data projects
Collaborative, engineering-led culture with a focus on quality