Vallum Associates
Data Engineer (Azure)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Azure) with a contract length of "unknown" and a pay rate of "unknown." Candidates must have recent experience in Banking or Financial Services, strong skills in Python and Scala, and familiarity with MLFlow.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 12, 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
#Databricks #Scrum #Computer Science #Security #Python #Azure #Data Engineering #Datasets #MLflow #Data Quality #Data Pipeline #Scala #ML (Machine Learning)
Role description
Banking or Financial Services are a must in recent years.
We're hiring a Data Engineer to build and maintain robust data pipelines, deliver actionable insights, and develop ML models for business impact. The role involves ensuring data quality, security, and system health, while championing client needs and uncovering value in marketing datasets.
Requirements:
• Bachelor’s in Engineering, Computer Science, Math, or Marketing
• Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids)
• Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred)
• Databricks certification is a plus
• Strong communicator and technical writer
• Track record with high-quality, stable, and high-performance data pipelines in scrum teams
• Curious, eager to learn, and mindful of long-term solutions
Banking or Financial Services are a must in recent years.
We're hiring a Data Engineer to build and maintain robust data pipelines, deliver actionable insights, and develop ML models for business impact. The role involves ensuring data quality, security, and system health, while championing client needs and uncovering value in marketing datasets.
Requirements:
• Bachelor’s in Engineering, Computer Science, Math, or Marketing
• Hands-on data engineering (event streaming, real-time analytics, graph processing, computational grids)
• Skilled in Python and Scala; familiar with MLFlow and machine learning (preferred)
• Databricks certification is a plus
• Strong communicator and technical writer
• Track record with high-quality, stable, and high-performance data pipelines in scrum teams
• Curious, eager to learn, and mindful of long-term solutions
