CACTUS IT SOLUTIONS
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Azure Databricks, Python, Spark, and extensive experience with Azure data services and data architecture design.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Data Quality #NoSQL #Scala #Azure Data Factory #Data Integration #Databases #Azure Blob Storage #Storage #Version Control #GIT #ADF (Azure Data Factory) #Data Governance #Azure #Databricks #Data Engineering #Data Pipeline #Spark (Apache Spark) #Datasets #PySpark #Data Architecture #Python #SQL (Structured Query Language) #Azure SQL Database #Azure SQL #Azure Databricks #Agile
Role description
• Experience in data engineering, with at least 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.
• Experience in data engineering, with at least 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.
