

Concept
Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer on a 6-month contract, paying market rate, requiring 2 days per week in Dunstable. Key skills include Python, Shiny for Python, Databricks, SQL, and PostgreSQL. Experience in data engineering is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Dunstable
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🧠 - Skills detailed
#Documentation #GIT #Schema Design #Deployment #Databricks #Data Access #Data Engineering #Data Science #SQL (Structured Query Language) #Python #Scala #PostgreSQL
Role description
Python Developer - Contract Opportunity
Location: 2 days per week in Dunstable (Tue/Wed/Thu preferred)
Duration: 6-month contract
Rate: Market rate, Inside IR35
Start: ASAP
End Client: Major UK hospitality group (via a leading consultancy)
About the Role
We're looking for an experienced Python Developer to support the build and delivery of a Shiny for Python web application hosted within Databricks Apps. This tool will act as a user-facing interface for analytics and pricing workflows, requiring strong UI development, backend optimisation, and data engineering capability.
You'll work closely with a Data Science team to refine requirements, build application components, optimise data access, and get the solution production-ready.
Key Responsibilities
• Develop and enhance Shiny for Python UI components (layouts, widgets, visualisations)
• Build and optimise backend data access layers for speed and scalability
• Integrate, package, and deploy applications within Databricks Apps
• Assess data access patterns and advise on whether a PostgreSQL intermediary layer is required
• Configure compute, dependencies, and environments for reliable deployment
• Produce documentation (architecture, app structure, deployment steps)
• Provide knowledge transfer to internal teams
Required Skills & Experience
• Strong hands-on Python development experience
• Proven experience building apps with Shiny for Python
• Good knowledge of Databricks (notebooks, compute, workflows; Apps experience ideal)
• Solid understanding of SQL and PostgreSQL (schema design & performance tuning)
• Familiarity with modern data-engineering patterns (caching, query optimisation, async workflows beneficial)
• Comfortable working in version-controlled environments (Git, CI/CD)
Python Developer - Contract Opportunity
Location: 2 days per week in Dunstable (Tue/Wed/Thu preferred)
Duration: 6-month contract
Rate: Market rate, Inside IR35
Start: ASAP
End Client: Major UK hospitality group (via a leading consultancy)
About the Role
We're looking for an experienced Python Developer to support the build and delivery of a Shiny for Python web application hosted within Databricks Apps. This tool will act as a user-facing interface for analytics and pricing workflows, requiring strong UI development, backend optimisation, and data engineering capability.
You'll work closely with a Data Science team to refine requirements, build application components, optimise data access, and get the solution production-ready.
Key Responsibilities
• Develop and enhance Shiny for Python UI components (layouts, widgets, visualisations)
• Build and optimise backend data access layers for speed and scalability
• Integrate, package, and deploy applications within Databricks Apps
• Assess data access patterns and advise on whether a PostgreSQL intermediary layer is required
• Configure compute, dependencies, and environments for reliable deployment
• Produce documentation (architecture, app structure, deployment steps)
• Provide knowledge transfer to internal teams
Required Skills & Experience
• Strong hands-on Python development experience
• Proven experience building apps with Shiny for Python
• Good knowledge of Databricks (notebooks, compute, workflows; Apps experience ideal)
• Solid understanding of SQL and PostgreSQL (schema design & performance tuning)
• Familiarity with modern data-engineering patterns (caching, query optimisation, async workflows beneficial)
• Comfortable working in version-controlled environments (Git, CI/CD)






