Involved Solutions

Senior Data Engineer - £450/day Outside IR35 - 6 Months

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-month contract, paying £450/day Outside IR35. It requires 2 days onsite in Central London, with expertise in Azure Data Factory, Databricks, SQL, Python, and experience in consultancy projects.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 6, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Spark (Apache Spark) #Python #Data Architecture #DevOps #Scala #Data Lake #Data Pipeline #Databricks #Azure Databricks #Security #PySpark #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Governance #ADF (Azure Data Factory) #Azure Data Factory #Azure DevOps #Azure Synapse Analytics #Data Ingestion #Compliance #Data Engineering #Synapse #GDPR (General Data Protection Regulation) #Azure
Role description
Senior Data Engineer Rate - up to £450/day Outside IR35 Location - 2 days a week onsite in Central London Duration - 6 Months + Likely Extension We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Senior Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London. Key Responsibilities - Senior Data Engineer: • Design, build and maintain scalable and secure data pipelines on the Azure platform. • Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. • Optimise ETL/ELT processes to improve performance, reliability and efficiency. • Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. • Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering. • Ensure compliance with data governance and security policies (incl. GDPR and ISO standards). Required Skills & Experience - Senior Data Engineer: • Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure • Azure Data Factory • Azure Databricks (PySpark) • SQL & Python • Understanding of CI/CD in a data environment, ideally with tools like Azure DevOps. • Experience working within consultancy or client-facing projects is highly desirable. Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer