

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (Databricks Focus) for 6 months, based in London with hybrid working. Key skills include Azure, Databricks, Python, and Azure DevOps. Extensive experience in data engineering and familiarity with Medallion architecture are required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 1, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#Data Quality #ADF (Azure Data Factory) #Data Manipulation #Security #Azure Databricks #Microsoft Power BI #Data Engineering #Azure DevOps #Data Visualisation #Data Pipeline #Automation #BI (Business Intelligence) #Data Management #Data Lake #Databricks #Migration #Azure Data Factory #DevOps #Python #Storage #Infrastructure as Code (IaC) #Azure
Role description
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Data Engineer (Databricks Focus)
London, hybrid working
6 months
What you'll be doing:
As a Data Engineer, you'll be instrumental in the post-organisational change data landscape. Your key responsibilities will include:
β’ Designing and implementing robust data pipelines for efficient data collection, processing, and storage.
β’ Leading the migration of existing files and data to new systems.
β’ Ensuring data quality, integrity, and security throughout the migration process.
β’ Collaborating closely with stakeholders across the business to understand their data needs and translate them into technical solutions.
β’ Contributing to the development of best practices for data management and governance.
What you'll bring:
β’ Extensive experience as a Data Engineer, with a proven track record of delivering impactful data solutions.
β’ Deep and recent experience with Azure, Databricks, and Azure Data Factory. You've not just touched these technologies; you've used them extensively in recent projects.
β’ Strong proficiency in Python for data manipulation and automation.
β’ Hands-on experience with Azure DevOps for CI/CD and infrastructure as code.
β’ Solid understanding of Power BI for data visualisation and reporting.
β’ Familiarity with the Medallion architecture for data lake organisation.