GIOS Technology
Azure Databricks Developer / Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Developer / Data Engineer in London, UK (Hybrid, 2-3 days in office). Contract length is unspecified with a competitive pay rate. Requires 4-6 years of experience, expertise in Azure Databricks, Spark, Python, and SQL.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Databricks #Data Engineering #Big Data #"ETL (Extract #Transform #Load)" #Scala #Python #Spark (Apache Spark) #Cloud #Data Modeling #Azure #Azure Databricks #SQL (Structured Query Language) #Programming #Data Pipeline
Role description
Job Title: Azure Databricks Developer / Data Engineer
Location: London, UK (Hybrid) - weekly 2-3 days in office
Job Description:
We are seeking an experienced Azure Databricks Developer / Data Engineer to design, build, and optimize data pipelines supporting scalable and reliable data infrastructure. The ideal candidate will have hands-on expertise in Azure Databricks, Spark, and related data engineering tools.
Key Responsibilities:
• Design, develop, and optimize large-scale data pipelines using Azure Databricks.
• Ensure data reliability, scalability, and quality across multiple environments.
• Integrate diverse data sources into a unified platform.
• Implement and maintain ETL workflows and data transformation processes.
• Monitor, troubleshoot, and enhance performance of data systems.
• Collaborate with cross-functional teams to align data solutions with business needs.
Experience Required:
• 4–6 years of experience in Data Engineering / Software Development.
• Proven expertise in Azure Databricks, Spark, and big data tools.
• Strong programming background in Python, Scala, and SQL.
• Experience with ETL design, data modeling, and cloud technologies.
• Familiarity with CI/CD pipelines for data engineering.
Key Skills:
AzureDatabricks, Spark, Python, Scala, SQL, ETL, DataEngineering, BigData, Cloud, CICD
Job Title: Azure Databricks Developer / Data Engineer
Location: London, UK (Hybrid) - weekly 2-3 days in office
Job Description:
We are seeking an experienced Azure Databricks Developer / Data Engineer to design, build, and optimize data pipelines supporting scalable and reliable data infrastructure. The ideal candidate will have hands-on expertise in Azure Databricks, Spark, and related data engineering tools.
Key Responsibilities:
• Design, develop, and optimize large-scale data pipelines using Azure Databricks.
• Ensure data reliability, scalability, and quality across multiple environments.
• Integrate diverse data sources into a unified platform.
• Implement and maintain ETL workflows and data transformation processes.
• Monitor, troubleshoot, and enhance performance of data systems.
• Collaborate with cross-functional teams to align data solutions with business needs.
Experience Required:
• 4–6 years of experience in Data Engineering / Software Development.
• Proven expertise in Azure Databricks, Spark, and big data tools.
• Strong programming background in Python, Scala, and SQL.
• Experience with ETL design, data modeling, and cloud technologies.
• Familiarity with CI/CD pipelines for data engineering.
Key Skills:
AzureDatabricks, Spark, Python, Scala, SQL, ETL, DataEngineering, BigData, Cloud, CICD
