Infoplus Technologies UK Limited
Azure Data Engineer - Active SC
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with 10+ years of data engineering experience, including 3+ years with Azure Databricks. Requires proficiency in Python, Spark, SQL, and data governance. Active SC clearance is mandatory. Contract length and pay rate unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Agile #Python #Spark (Apache Spark) #Storage #Azure Databricks #Azure Blob Storage #Data Integration #PySpark #Databases #Data Quality #Data Engineering #Data Architecture #Azure Data Factory #Databricks #Datasets #SQL (Structured Query Language) #Azure SQL #GIT #Scala #NoSQL #Data Governance #ADF (Azure Data Factory) #Version Control #Azure #Data Pipeline #Azure SQL Database
Role description
Essential Skills & Experience:
• 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
• Good proficiency in Python and Spark (PySpark) or Scala.
• Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
• Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
• Experience working with large datasets and complex data pipelines.
• Experience with data architecture design and data pipeline optimization.
• Proven expertise with Databricks, including hands-on implementation experience and certifications.
• Experience with SQL and NoSQL databases.
• Experience with data quality and data governance processes.
• Experience with version control systems (e.g., Git).
• Experience with Agile development methodologies.
Essential Skills & Experience:
• 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
• Good proficiency in Python and Spark (PySpark) or Scala.
• Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
• Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
• Experience working with large datasets and complex data pipelines.
• Experience with data architecture design and data pipeline optimization.
• Proven expertise with Databricks, including hands-on implementation experience and certifications.
• Experience with SQL and NoSQL databases.
• Experience with data quality and data governance processes.
• Experience with version control systems (e.g., Git).
• Experience with Agile development methodologies.
