GIOS Technology
Data Engineer – Quantexa (ETL & Scoring)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Quantexa (ETL & Scoring), requiring certification, experience in fraud or financial crime projects, strong SQL and Python/Scala skills, and familiarity with Azure. Contract length and pay rate are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 15, 2026
🕒 - 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
London Area, United Kingdom
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🧠 - Skills detailed
#Azure DevOps #Apache Spark #Model Deployment #Observability #Cloud #Statistics #Deployment #Azure cloud #Unit Testing #Data Processing #"ETL (Extract #Transform #Load)" #Azure #Spark (Apache Spark) #Python #ML (Machine Learning) #SQL (Structured Query Language) #Compliance #Deep Learning #Scala #DevOps #GIT #Data Engineering #Documentation
Role description
I am hiring for Data Engineer – Quantexa (ETL & Scoring)
Location: London - Hybrid / 2-3 days Per week in office
• Quantexa Data Engineer Certification with hands-on experience in Quantexa ETL and scoring tools.
• Experience delivering projects in fraud, financial crime, compliance, or customer intelligence domains.
• Strong foundation in statistics, machine learning, and deep learning..
• Experience with ML pipelines, feature engineering, and large-scale data processing.
• Strong SQL skills.
• Experience with MLOps, including model deployment, CI/CD, and unit testing.
• Tools such as Git, Azure DevOps, or equivalent.
• Knowledge of model governance, including explainability, observability, and documentation.
• Proficiency in Python and/or Scala (Apache Spark experience preferred).
• Familiarity with Azure cloud platform.
Key Skills: Quantexa / ETL / Scoring tools / Machine learning / Data processing / Python
I am hiring for Data Engineer – Quantexa (ETL & Scoring)
Location: London - Hybrid / 2-3 days Per week in office
• Quantexa Data Engineer Certification with hands-on experience in Quantexa ETL and scoring tools.
• Experience delivering projects in fraud, financial crime, compliance, or customer intelligence domains.
• Strong foundation in statistics, machine learning, and deep learning..
• Experience with ML pipelines, feature engineering, and large-scale data processing.
• Strong SQL skills.
• Experience with MLOps, including model deployment, CI/CD, and unit testing.
• Tools such as Git, Azure DevOps, or equivalent.
• Knowledge of model governance, including explainability, observability, and documentation.
• Proficiency in Python and/or Scala (Apache Spark experience preferred).
• Familiarity with Azure cloud platform.
Key Skills: Quantexa / ETL / Scoring tools / Machine learning / Data processing / Python
