Data Engineer (Databricks Contractor)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Databricks Contractor) with a 6-month contract, paying "£X per day." It requires strong experience in Databricks, Python, SQL, and data governance. Work is onsite 3 days a week in "Newcastle, London, or Edinburgh."
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Newcastle Upon Tyne, England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Azure Data Factory #Scala #Data Lineage #Data Integration #Delta Lake #Python #Spark (Apache Spark) #ADF (Azure Data Factory) #SQL (Structured Query Language) #PySpark #Databricks #Azure #Agile #Apache Spark #Data Governance
Role description
We're seeking an experienced Databricks Engineer to help design and deliver strategic data solutions across enterprise platforms. This role will support both proof-of-concept work and the development of a Strategic Operational Data Store (ODS), with a focus on performance, scalability, and governance. This role is 3 days a week onsite in either Newcastle, London or Edinburgh and falls outside IR35.
Key Responsibilities
• Lead Databricks platform evaluation, including performance benchmarking and stress testing
• Collaborate with Databricks Professional Services for architectural assurance
• Design and document scalable data models and integration patterns
• Support enterprise integration, including Salesforce data and unified client ID strategies
• Migrate Azure Data Factory flows to Databricks for improved traceability
• Implement Unity Catalog for automated data lineage
• Deliver backlog items through Agile sprint planning
Skills & Experience
• Strong hands-on experience with Databricks, Fabric, Apache Spark, Delta Lake
• Proficient in Python, SQL, and PySpark
• Familiar with Azure Data Factory, Event Hub, Unity Catalog
• Solid understanding of data governance and enterprise architecture
• Effective communicator with experience engaging stakeholders
Desirable
• Experience with Salesforce data integration
• Prior involvement in platform PoCs or benchmarking
• Knowledge of Strategic ODS and enterprise integration strategies
We're seeking an experienced Databricks Engineer to help design and deliver strategic data solutions across enterprise platforms. This role will support both proof-of-concept work and the development of a Strategic Operational Data Store (ODS), with a focus on performance, scalability, and governance. This role is 3 days a week onsite in either Newcastle, London or Edinburgh and falls outside IR35.
Key Responsibilities
• Lead Databricks platform evaluation, including performance benchmarking and stress testing
• Collaborate with Databricks Professional Services for architectural assurance
• Design and document scalable data models and integration patterns
• Support enterprise integration, including Salesforce data and unified client ID strategies
• Migrate Azure Data Factory flows to Databricks for improved traceability
• Implement Unity Catalog for automated data lineage
• Deliver backlog items through Agile sprint planning
Skills & Experience
• Strong hands-on experience with Databricks, Fabric, Apache Spark, Delta Lake
• Proficient in Python, SQL, and PySpark
• Familiar with Azure Data Factory, Event Hub, Unity Catalog
• Solid understanding of data governance and enterprise architecture
• Effective communicator with experience engaging stakeholders
Desirable
• Experience with Salesforce data integration
• Prior involvement in platform PoCs or benchmarking
• Knowledge of Strategic ODS and enterprise integration strategies
