

Venturi
Senior Python / PySpark Data Engineer (Azure Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python / PySpark Data Engineer (Azure Databricks) on a long-term contract, paying £425/day, fully remote in the UK. Key skills include Azure Databricks, Python, PySpark, and SQL, with enterprise-scale data pipeline experience required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
425
-
🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Azure Databricks #Python #Scala #Data Processing #Spark (Apache Spark) #Data Pipeline #Azure #"ETL (Extract #Transform #Load)" #Azure DevOps #DevOps #Data Lake #GIT #Databricks #Datasets #Batch #SQL (Structured Query Language) #Data Engineering #PySpark #Cloud #Infrastructure as Code (IaC)
Role description
Senior Python / PySpark Data Engineer (Azure Databricks)
Remote (UK)
£425/day
Outside IR35
Long-Term Contract
About the Role
We're partnering with a global technology organisation delivering enterprise-scale cloud data platforms for major international clients.
We're looking for an experienced Senior Python / PySpark Data Engineer to join an established Azure Data Engineering team, working on the design, development and optimisation of scalable data solutions within Azure Databricks.
This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges, writing high-quality code and taking ownership of technical delivery.
Key Responsibilities
• Design and develop data solutions using Azure Databricks.
• Build scalable data pipelines with Python and PySpark.
• Develop batch and streaming data processing solutions.
• Analyse complex datasets and build efficient data models.
• Deliver robust, production-ready ETL/ELT pipelines.
• Collaborate with other engineers to deliver high-quality cloud data solutions.
Essential Skills
• Strong commercial experience with Azure Databricks.
• Excellent Python and PySpark skills.
• Strong SQL and core Data Engineering experience.
• Experience building enterprise-scale data pipelines.
• Experience with batch and streaming data processing.
• Understanding of Unity Catalog and core Databricks functionality.
Desirable
• Azure DevOps.
• CI/CD pipelines.
• Infrastructure as Code.
• Experience working within enterprise Azure environments.
What We're Looking For
We're looking for engineers who:
• Have strong technical and problem-solving skills.
• Can work independently with minimal supervision.
• Produce clean, maintainable, production-quality code.
• Enjoy working in highly technical engineering teams.
• Take ownership and pride in delivering high-quality solutions.
Technology Stack
Azure Databricks
• Python
• PySpark
• SQL
• Azure Data Lake
• Unity Catalog
• Databricks Jobs
• Batch & Streaming Processing
• Git
• Azure DevOps
What's on Offer
• £425/day.
• Outside IR35.
• Fully remote within the UK.
• Long-term contract.
• Immediate interview process.
Opportunity to work on large-scale cloud data engineering programmes.
Interested?
If you're an experienced Python / PySpark Data Engineer with strong Azure Databricks experience and you're looking for your next Outside IR35 contract, we'd love to hear from you.
Apply today or send your CV for a confidential discussion. We're reviewing applications as they come in, with interviews taking place on a rolling basis.
Senior Python / PySpark Data Engineer (Azure Databricks)
Remote (UK)
£425/day
Outside IR35
Long-Term Contract
About the Role
We're partnering with a global technology organisation delivering enterprise-scale cloud data platforms for major international clients.
We're looking for an experienced Senior Python / PySpark Data Engineer to join an established Azure Data Engineering team, working on the design, development and optimisation of scalable data solutions within Azure Databricks.
This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges, writing high-quality code and taking ownership of technical delivery.
Key Responsibilities
• Design and develop data solutions using Azure Databricks.
• Build scalable data pipelines with Python and PySpark.
• Develop batch and streaming data processing solutions.
• Analyse complex datasets and build efficient data models.
• Deliver robust, production-ready ETL/ELT pipelines.
• Collaborate with other engineers to deliver high-quality cloud data solutions.
Essential Skills
• Strong commercial experience with Azure Databricks.
• Excellent Python and PySpark skills.
• Strong SQL and core Data Engineering experience.
• Experience building enterprise-scale data pipelines.
• Experience with batch and streaming data processing.
• Understanding of Unity Catalog and core Databricks functionality.
Desirable
• Azure DevOps.
• CI/CD pipelines.
• Infrastructure as Code.
• Experience working within enterprise Azure environments.
What We're Looking For
We're looking for engineers who:
• Have strong technical and problem-solving skills.
• Can work independently with minimal supervision.
• Produce clean, maintainable, production-quality code.
• Enjoy working in highly technical engineering teams.
• Take ownership and pride in delivering high-quality solutions.
Technology Stack
Azure Databricks
• Python
• PySpark
• SQL
• Azure Data Lake
• Unity Catalog
• Databricks Jobs
• Batch & Streaming Processing
• Git
• Azure DevOps
What's on Offer
• £425/day.
• Outside IR35.
• Fully remote within the UK.
• Long-term contract.
• Immediate interview process.
Opportunity to work on large-scale cloud data engineering programmes.
Interested?
If you're an experienced Python / PySpark Data Engineer with strong Azure Databricks experience and you're looking for your next Outside IR35 contract, we'd love to hear from you.
Apply today or send your CV for a confidential discussion. We're reviewing applications as they come in, with interviews taking place on a rolling basis.






