

Hydrogen Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 5-month contract, paying £550/day (inside IR35), with remote work options. Key skills include Azure, Databricks, PySpark, and advanced SQL. Strong Azure Data Engineering experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date
July 25, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
City Of London, England, United Kingdom
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🧠 - Skills detailed
#Azure Data Factory #Data Pipeline #Microsoft Power BI #AI (Artificial Intelligence) #ML (Machine Learning) #Databricks #Azure Stream Analytics #Kafka (Apache Kafka) #Data Lake #Azure ADLS (Azure Data Lake Storage) #Terraform #Azure #Azure DevOps #ADF (Azure Data Factory) #Dimensional Modelling #Data Quality #Data Engineering #Spark (Apache Spark) #Delta Lake #Automated Testing #Python #SQL (Structured Query Language) #Storage #ADLS (Azure Data Lake Storage) #Data Ingestion #PySpark #Scala #C# #Cloud #DevOps #BI (Business Intelligence) #Azure Databricks
Role description
Data Engineer
5 month contract (rolling)
£550/day (inside IR35)
Remote/London
Enterprise Data | Azure | Databricks | PySpark
We're looking for an experienced Data Engineer to join a growing Enterprise Data team responsible for building modern cloud data platforms that power business intelligence, AI and machine learning.
This is an opportunity to work on enterprise-scale Azure data solutions while helping shape the future of the organisation's data capability.
What you'll be doing
• Designing and developing scalable Azure data pipelines
• Building and maintaining data ingestion from SQL, APIs and streaming technologies
• Developing high-quality PySpark and Python solutions within Azure Databricks
• Creating Kimball dimensional models and trusted data products
• Implementing CI/CD, automated testing and DevOps best practices
• Supporting data quality, governance and performance across enterprise platforms
• Collaborating with business stakeholders to translate requirements into technical solutions
What we're looking for
• Strong Azure Data Engineering experience
• Azure Data Factory
• Azure Databricks
• Azure Data Lake Storage
• PySpark & Python
• Delta Lake & Unity Catalog
• Advanced SQL
• Kimball dimensional modelling
• CI/CD and software engineering best practices
Nice to have
• Azure DevOps
• Terraform/Bicep/ARM
• Azure Stream Analytics
• Power BI Engineering
• Purview
• Kafka or streaming technologies
• C# or PowerShell
• Machine Learning / AI exposure
...
Data Engineer
5 month contract (rolling)
£550/day (inside IR35)
Remote/London
Enterprise Data | Azure | Databricks | PySpark
We're looking for an experienced Data Engineer to join a growing Enterprise Data team responsible for building modern cloud data platforms that power business intelligence, AI and machine learning.
This is an opportunity to work on enterprise-scale Azure data solutions while helping shape the future of the organisation's data capability.
What you'll be doing
• Designing and developing scalable Azure data pipelines
• Building and maintaining data ingestion from SQL, APIs and streaming technologies
• Developing high-quality PySpark and Python solutions within Azure Databricks
• Creating Kimball dimensional models and trusted data products
• Implementing CI/CD, automated testing and DevOps best practices
• Supporting data quality, governance and performance across enterprise platforms
• Collaborating with business stakeholders to translate requirements into technical solutions
What we're looking for
• Strong Azure Data Engineering experience
• Azure Data Factory
• Azure Databricks
• Azure Data Lake Storage
• PySpark & Python
• Delta Lake & Unity Catalog
• Advanced SQL
• Kimball dimensional modelling
• CI/CD and software engineering best practices
Nice to have
• Azure DevOps
• Terraform/Bicep/ARM
• Azure Stream Analytics
• Power BI Engineering
• Purview
• Kafka or streaming technologies
• C# or PowerShell
• Machine Learning / AI exposure
...






