Whitehall Resources
Data Engineer (Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Databricks) with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, Streamlit, SQL, and experience with Databricks. Strong data application development and version control experience required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Deployment #Pandas #Data Engineering #Tableau #Version Control #Datasets #Libraries #Python #Databricks #Documentation #BI (Business Intelligence) #Automated Testing #Data Quality #SQL (Structured Query Language) #Spark (Apache Spark) #PySpark #Microsoft Power BI #Data Pipeline #Monitoring #Streamlit
Role description
Data Engineer (Databricks)
Whitehall Resources currently require an experienced Data Engineer (Databricks) to work with a key client.
•
• Please note this role requires falls INSIDE IR35
•
• Responsibilities
• Design build, test, deploy and maintain lightweight analytics application, primarily using python and streamlit, to support training and onboarding
• Translate business and user requirements into intuitive application workflows, well-structured data models and transparent metrics.
• Work closely with Data engineers to ensure data pipelines and reusable data sets meet application and analytical needs
• Maintain application code in version control and contribute to testing, technical documentation and development best practices
• Develop and maintain reusable datasets, semantic layer, data quality checks, monitoring and reporting for the data used by the applications.
• Gather user feedback and iteratively improve application usability, accessibility and adoption
• Build dashboards and visualisations where they are the most appropriate way to communicate onboarding, adoption and business metrics
• Support onboarding of new users to the data platform, improving accessibility and usability
Required Skills and Experience
• Hands on experience developing data or analytic applications in Python using Streamlit, Dash or a similar framework
• Experience designing, testing and maintaining user-facing applications, including the use of version control
• Strong SQL skills and experience analysing and integrating data sets from multiple sources
• Experience with Databricks (or similar modern data platforms)
• Working experience with notebooks and Python data libraries and processing frameworks (e.g. Pandas, PySpark)
• Understanding of deployment, CI/CD, orchestration and application support practices.
“Nice To Have” Skills and Experience
• Experience building dashboards and visualisation using (Databricks SQL, Power BI, Tableau, or a similar tool)Familiarity with data quality frameworks and automated testing approaches
• Understanding of data engineering concepts (pipelines, orchestration, version control)
• Exposure to working in a product-oriented or data platform environment
Data Engineer (Databricks)
Whitehall Resources currently require an experienced Data Engineer (Databricks) to work with a key client.
•
• Please note this role requires falls INSIDE IR35
•
• Responsibilities
• Design build, test, deploy and maintain lightweight analytics application, primarily using python and streamlit, to support training and onboarding
• Translate business and user requirements into intuitive application workflows, well-structured data models and transparent metrics.
• Work closely with Data engineers to ensure data pipelines and reusable data sets meet application and analytical needs
• Maintain application code in version control and contribute to testing, technical documentation and development best practices
• Develop and maintain reusable datasets, semantic layer, data quality checks, monitoring and reporting for the data used by the applications.
• Gather user feedback and iteratively improve application usability, accessibility and adoption
• Build dashboards and visualisations where they are the most appropriate way to communicate onboarding, adoption and business metrics
• Support onboarding of new users to the data platform, improving accessibility and usability
Required Skills and Experience
• Hands on experience developing data or analytic applications in Python using Streamlit, Dash or a similar framework
• Experience designing, testing and maintaining user-facing applications, including the use of version control
• Strong SQL skills and experience analysing and integrating data sets from multiple sources
• Experience with Databricks (or similar modern data platforms)
• Working experience with notebooks and Python data libraries and processing frameworks (e.g. Pandas, PySpark)
• Understanding of deployment, CI/CD, orchestration and application support practices.
“Nice To Have” Skills and Experience
• Experience building dashboards and visualisation using (Databricks SQL, Power BI, Tableau, or a similar tool)Familiarity with data quality frameworks and automated testing approaches
• Understanding of data engineering concepts (pipelines, orchestration, version control)
• Exposure to working in a product-oriented or data platform environment
