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
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💰 - Day rate
550
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🗓️ - Date
July 25, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - 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 ...