

TechShack
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
Nothing Found.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
500
-
🗓️ - Date
May 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Azure Databricks #Python #Scala #Azure Data Factory #Data Engineering #ADF (Azure Data Factory) #Databricks #SQL (Structured Query Language) #Azure #Data Pipeline
Role description
Databricks Data Engineer - Remote - £450-500 per day - 6 Months
My client, a leading consultancy, is looking for a Databricks Engineer to join a large-scale platform build project for one of their key clients. This is an opportunity to work on modern data platforms using Azure, Databricks, and Lakehouse architectures within a highly scalable environment.
You will play a key role in designing, building, and scaling data pipelines, helping to deliver robust and high-performing data solutions across the platform.
Tech Stack:
• Databricks
• Azure Data Factory
• Python
• SQL
Key experience:
• Strong hands-on experience with Databricks
• Experience building scalable data platforms and pipelines
• Solid Azure data engineering background
• Strong Python and SQL skills
• Experience working with Lakehouse architectures
If this sounds like you, apply and I will give you a call!
Databricks Data Engineer - Remote - £450-500 per day - 6 Months
My client, a leading consultancy, is looking for a Databricks Engineer to join a large-scale platform build project for one of their key clients. This is an opportunity to work on modern data platforms using Azure, Databricks, and Lakehouse architectures within a highly scalable environment.
You will play a key role in designing, building, and scaling data pipelines, helping to deliver robust and high-performing data solutions across the platform.
Tech Stack:
• Databricks
• Azure Data Factory
• Python
• SQL
Key experience:
• Strong hands-on experience with Databricks
• Experience building scalable data platforms and pipelines
• Solid Azure data engineering background
• Strong Python and SQL skills
• Experience working with Lakehouse architectures
If this sounds like you, apply and I will give you a call!




