MANNING SERVICES LIMITED
Azure Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Data Engineer in London & Manchester, offering a permanent or contract position. Requires 5+ years in data engineering, expertise in Azure technologies, and strong data modeling skills.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
640
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🗓️ - Date
January 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #PySpark #Azure #Data Pipeline #Data Vault #Vault #Data Engineering #Synapse #Databricks #Spark (Apache Spark) #Data Lake #Azure Data Factory #ADF (Azure Data Factory) #Azure Databricks #Data Management
Role description
Role Title: Databricks Data Engineer
BU/Segment: Analytics / Data Management
Location: London & Manchester, United Kingdom
Employment Type: Permanent, FTC, or Umbrella Contractor (Inside IR35)
Ideal Profile Requirements:
• Minimum 5 years’ experience leading technical delivery or managing project teams in data engineering or integration.
• 8–10 years’ experience in data engineering and integration in large enterprise environments.
• Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake.
• Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT development, and data pipeline orchestration.
• Strong data modelling skills (Dimensional, ODS, Data Vault) and knowledge of data warehousing concepts.
Role Title: Databricks Data Engineer
BU/Segment: Analytics / Data Management
Location: London & Manchester, United Kingdom
Employment Type: Permanent, FTC, or Umbrella Contractor (Inside IR35)
Ideal Profile Requirements:
• Minimum 5 years’ experience leading technical delivery or managing project teams in data engineering or integration.
• 8–10 years’ experience in data engineering and integration in large enterprise environments.
• Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake.
• Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT development, and data pipeline orchestration.
• Strong data modelling skills (Dimensional, ODS, Data Vault) and knowledge of data warehousing concepts.
