GIOS Technology
AWS Data Engineer - UI Development
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer - UI Development in Glasgow, hybrid (2-3 days in office), with a focus on SQL, Python/PySpark, and orchestration tools. Experience in banking or financial services and data pipeline optimization is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 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
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Data Warehouse #Databricks #Spark (Apache Spark) #Data Science #Programming #Data Lake #Data Pipeline #Security #AWS (Amazon Web Services) #Data Engineering #PySpark #Python #SQL (Structured Query Language) #Airflow
Role description
I am hiring for AWS Data Engineer - UI Development
Location: Glasgow - Hybrid / 2-3 days Per week in Office
• Strong hands-on experience delivering production-grade data engineering solutions.
• Proficiency in SQL and programming languages (Python / PySpark strongly preferred).
• Experience with orchestration tools such as Airflow, AWS Step Functions, etc.
• Demonstrated ability to independently design and optimize complex data pipelines.
• Develop and maintain data warehouses and data lakes aligned with volume, velocity, and security requirements.
• Collaborate with data scientists to build and deploy machine learning models.
• Engage with stakeholders to translate business requirements into technical design and implementation.
• Contribute to modernization efforts by migrating workloads from AWS to Databricks.
Key Skills: AWS / Python / PySpark / Airflow / Data lakes / Banking / Financial Service / Databricks
I am hiring for AWS Data Engineer - UI Development
Location: Glasgow - Hybrid / 2-3 days Per week in Office
• Strong hands-on experience delivering production-grade data engineering solutions.
• Proficiency in SQL and programming languages (Python / PySpark strongly preferred).
• Experience with orchestration tools such as Airflow, AWS Step Functions, etc.
• Demonstrated ability to independently design and optimize complex data pipelines.
• Develop and maintain data warehouses and data lakes aligned with volume, velocity, and security requirements.
• Collaborate with data scientists to build and deploy machine learning models.
• Engage with stakeholders to translate business requirements into technical design and implementation.
• Contribute to modernization efforts by migrating workloads from AWS to Databricks.
Key Skills: AWS / Python / PySpark / Airflow / Data lakes / Banking / Financial Service / Databricks
