Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer based in Glasgow/hybrid, lasting until 31/12/2025, with a daily rate of £360 INSIDE IR35. Key skills include Python, PySpark, SQL, Core Java, and AWS experience. Agile methodology knowledge is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
360
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#BitBucket #Security #GIT #Data Warehouse #Version Control #Data Architecture #Agile #PySpark #Python #Spark (Apache Spark) #SQL (Structured Query Language) #Data Engineering #AWS (Amazon Web Services) #Data Lake #Data Pipeline #GitLab #Java
Role description
Job Title: Data Engineer
Location: Glasgow/hybrid
Duration: 31/12/2025
Daily rate: £360 per day INSIDE IR35
Role Description
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 processing 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.
Job Title: Data Engineer
Location: Glasgow/hybrid
Duration: 31/12/2025
Daily rate: £360 per day INSIDE IR35
Role Description
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 processing 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.
