Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Data Warehouse #SQL (Structured Query Language) #Java #Data Architecture #Spark (Apache Spark) #Python #Data Lake #GIT #Agile #Version Control #AWS (Amazon Web Services) #Data Engineering #GitLab #PySpark #Security #BitBucket #Data Pipeline
Role description
We are hiring for Data Engineer for our client's project based at Glasgow, Scotland– Hybrid
Purpose of the role
• To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
• Build and maintenance of data architectures pipelines that enable the transfer and procesing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Skillset Required
• Experience in Python, PySpark and SQL
• Experience with AWS is a plus
• Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management.
• Proficient in version control systems such as Git, GitLab, or Bitbucket.
• Strong background in performance tuning, profiling, and resolving production issues in distributed systems.
• Working knowledge of Agile methodologies and collaborative development practices
We are hiring for Data Engineer for our client's project based at Glasgow, Scotland– Hybrid
Purpose of the role
• To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
• Build and maintenance of data architectures pipelines that enable the transfer and procesing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Skillset Required
• Experience in Python, PySpark and SQL
• Experience with AWS is a plus
• Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management.
• Proficient in version control systems such as Git, GitLab, or Bitbucket.
• Strong background in performance tuning, profiling, and resolving production issues in distributed systems.
• Working knowledge of Agile methodologies and collaborative development practices
