Goodman Masson
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a 6-month contract, paying £500-600/day INSIDE IR35, largely remote. Requires 3+ years in data engineering, proficiency in PySpark, Python, SQL, and experience with Azure Data Factory and Databricks.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
July 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#REST (Representational State Transfer) #REST API #Azure Data Factory #Data Pipeline #Microsoft Power BI #GIT #Version Control #ML (Machine Learning) #Databricks #Databases #Kafka (Apache Kafka) #Data Integrity #Azure ADLS (Azure Data Lake Storage) #Data Lake #Batch #Terraform #Infrastructure as Code (IaC) #Azure #Azure DevOps #ADF (Azure Data Factory) #Data Quality #Snowflake #Data Engineering #Spark (Apache Spark) #Data Science #Delta Lake #Automated Testing #Python #SQL (Structured Query Language) #Integration Testing #Storage #Data Lakehouse #ADLS (Azure Data Lake Storage) #PySpark #Scala #C# #Cloud #DevOps #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Azure Databricks
Role description
6 month contract - £500-600/day INSIDE IR35 - Largely Remote
We are partnering with a global enterprise IT and cloud solutions provider to bring on an Azure Data Engineer on an urgent contract.
You will play a hands-on role in designing, building, and optimizing scalable, enterprise-grade data pipelines within a modern cloud data lakehouse environment. Working closely with Principal Architects, BI Analysts, and Data Scientists, you will take ownership of ingesting raw data from varied sources (REST APIs, on-prem databases, streaming feeds) and transforming it into clean, high-performance Kimball dimensional models using a Medallion Architecture.
Key Responsibilities
• Pipeline Engineering: Build and optimize batch and real-time ingestion/transformation pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Data Lakehouse Architecture: Implement and maintain a structured Medallion Architecture (Bronze/Silver/Gold layers) on Delta Lake.
• Dimensional Modeling: Design robust Kimball star schemas (Facts & Dimensions) to serve clean, aggregated data for downstream Power BI reporting and machine learning.
• Automated QA & Data Quality: Build automated testing frameworks (e.g., unit/integration testing) and validation rules to ensure data integrity before reaching production.
• Software Engineering Discipline: Write clean, modular PySpark/Python code adhering to SOLID principles, CI/CD pipelines (Azure DevOps/Git), and Infrastructure-as-Code practices (Terraform/Bicep).
What We’re Looking For
Essential Experience:
• 3+ years of hands-on Data Engineering experience in commercial environments.
• Deep proficiency in PySpark, Python, and SQL.
• Strong production experience with Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS Gen2).
• Proven track record implementing Medallion Architecture (Star/Snowflake schemas, SCD Type 1/2).
• Solid understanding of modern engineering practices: CI/CD, version control (Git), automated testing/QA, and data validation.
Desirable / Nice-to-Have:
• Experience with Infrastructure as Code (Terraform, Bicep, or ARM).
• Exposure to Microsoft Fabric, Unity Catalog, or Microsoft Purview.
• Familiarity with C# or streaming tech (Spark Structured Streaming / Kafka).
• Active Microsoft or Databricks certifications (e.g., DP-203, Databricks Certified Data Engineer).
6 month contract - £500-600/day INSIDE IR35 - Largely Remote
We are partnering with a global enterprise IT and cloud solutions provider to bring on an Azure Data Engineer on an urgent contract.
You will play a hands-on role in designing, building, and optimizing scalable, enterprise-grade data pipelines within a modern cloud data lakehouse environment. Working closely with Principal Architects, BI Analysts, and Data Scientists, you will take ownership of ingesting raw data from varied sources (REST APIs, on-prem databases, streaming feeds) and transforming it into clean, high-performance Kimball dimensional models using a Medallion Architecture.
Key Responsibilities
• Pipeline Engineering: Build and optimize batch and real-time ingestion/transformation pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Data Lakehouse Architecture: Implement and maintain a structured Medallion Architecture (Bronze/Silver/Gold layers) on Delta Lake.
• Dimensional Modeling: Design robust Kimball star schemas (Facts & Dimensions) to serve clean, aggregated data for downstream Power BI reporting and machine learning.
• Automated QA & Data Quality: Build automated testing frameworks (e.g., unit/integration testing) and validation rules to ensure data integrity before reaching production.
• Software Engineering Discipline: Write clean, modular PySpark/Python code adhering to SOLID principles, CI/CD pipelines (Azure DevOps/Git), and Infrastructure-as-Code practices (Terraform/Bicep).
What We’re Looking For
Essential Experience:
• 3+ years of hands-on Data Engineering experience in commercial environments.
• Deep proficiency in PySpark, Python, and SQL.
• Strong production experience with Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS Gen2).
• Proven track record implementing Medallion Architecture (Star/Snowflake schemas, SCD Type 1/2).
• Solid understanding of modern engineering practices: CI/CD, version control (Git), automated testing/QA, and data validation.
Desirable / Nice-to-Have:
• Experience with Infrastructure as Code (Terraform, Bicep, or ARM).
• Exposure to Microsoft Fabric, Unity Catalog, or Microsoft Purview.
• Familiarity with C# or streaming tech (Spark Structured Streaming / Kafka).
• Active Microsoft or Databricks certifications (e.g., DP-203, Databricks Certified Data Engineer).
