Data Engineer
Job in
Skipton, North Yorkshire, BD23, England, UK
Listed on 2026-08-03
Listing for:
CBSbutler Holdings Limited trading as CBSbutler
Full Time
position Listed on 2026-08-03
Job specializations:
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
£450 to £465 per day | Contract | Inside IR35
We are looking for an experienced Azure Data Engineer to join a major data transformation programme, delivering modern cloud-based data solutions using the Microsoft Azure platform.
You'll play a key role in designing and building scalable data pipelines, supporting enterprise reporting and analytics, and migrating legacy data into a modern Azure Lakehouse environment.
Key Responsibilities
Develop and maintain data pipelines using Azure Data Factory, Databricks and Azure Lakehouse.
Design ETL/ELT solutions supporting Bronze, Silver and Gold layers using Medallion Architecture.
Build and optimise data models for Power BI and enterprise reporting.
Support migration of legacy data into Azure cloud services.
Ensure data quality, integrity and governance through automated validation and monitoring.
Optimise data processing performance and troubleshoot production data pipelines.
Collaborate with architecture and governance teams to implement security, metadata and data lineage.
Contribute to CI/CD, Infrastructure as Code, automated testing and Dev Ops best practices.
Essential Skills
Proven experience as an Azure Data Engineer.
Strong Azure Data Factory (ADF) and Azure Databricks experience.
Experience building ETL/ELT pipelines within Azure Lakehouse environments.
Knowledge of Medallion Architecture and Delta Lake.
Strong SQL and Python skills.
Experience with Power BI datasets and data modelling.
Familiarity with Azure Dev Ops, Git, CI/CD and Infrastructure as Code.
Understanding of data governance, security and cloud best practices.
Skills:
Azure
Data Engineering
Data Engineering
Databricks
Data Analysis This is an excellent opportunity to join a large-scale cloud transformation programme working with modern Azure technologies in a collaborative, agile environment
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