Data Engineer
CBS Butler Limited
Skipton, UK
30 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£117,000.0 - £120,900.0
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Automation of Tests
Microsoft Azure
Continuous Integration
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Transformation
Data Systems
DevOps
Python (Programming Language)
Metadata
+12 more
Operational Databases
Power BI
Standard Sql
Data Processing
Azure Data Factory
Git
Data Lakes
Infrastructure Automation Frameworks
Data Lineage
Cloud Optimization
Data Pipelines
Databricks
Job description
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., * 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 DevOps best practices.
Requirements
- 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 DevOps, 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
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