Meritus

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 6 months contract in London (2 days onsite), offering £550-£600 per day. Requires strong experience in Azure Databricks, Azure Data Factory, Python, SQL, and building scalable data pipelines in cloud environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date
March 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#DevOps #Datasets #Azure #Data Quality #Cloud #Monitoring #Version Control #PySpark #ADF (Azure Data Factory) #SQL (Structured Query Language) #Data Processing #Azure Databricks #Scala #Python #Data Integration #"ETL (Extract #Transform #Load)" #Data Lake #GitHub #Spark (Apache Spark) #Data Engineering #Azure DevOps #Azure Data Factory #Data Pipeline #Data Architecture #Databricks
Role description
Contract Data Engineer - Azure / Databricks Location: London (2 days onsite) Rate: £550-£600 per day (Inside IR35) Contract: 6 months A leading UK financial institution is seeking an experienced Data Engineer to support the development and enhancement of a modern cloud-based data platform. This role will focus on building scalable data pipelines and supporting the evolution of a cloud-first data architecture. Key Responsibilities • Design and develop scalable data pipelines using modern cloud technologies. • Build and optimise distributed data processing solutions using Databricks, Spark and Python. • Develop and maintain data integration workflows using Azure Data Factory. • Work with large datasets stored in Azure Data Lake environments. • Collaborate with architects, analysts and engineering teams to deliver reliable and secure data solutions. • Contribute to improving data quality, performance and operational monitoring across the platform. Key Skills & Experience • Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake. • Advanced Python, SQL and Spark (PySpark) development experience. • Experience building and optimising ETL / data pipelines in cloud environments. • Knowledge of CI/CD and version control (Azure DevOps, GitHub or similar). • Experience working with large-scale distributed data processing systems. Contract Details • 6-month initial contract • £550-£600 per day (Inside IR35) • Hybrid working: 2 days per week onsite in London If you're an experienced Data Engineer with strong Azure and Databricks expertise and are available for a new contract, please apply or get in touch to discuss further.