Data Engineer

CBS Butler Limited
Skipton, UK
3 months 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

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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