W Talent

Data Engineer - SC Clearance - 6 Months - Hybrid

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with active SC Clearance, offering a 6-month hybrid contract in London at £300/day. Key skills include Azure services, SQL, Python, Spark, and banking domain experience is highly beneficial.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
300
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🗓️ - Date
March 15, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Metadata #PySpark #Azure Databricks #Scripting #Spark (Apache Spark) #Data Strategy #Data Engineering #Python #Agile #Azure DevOps #Data Architecture #Cloudera #Migration #Data Management #Apache Airflow #Airflow #SQL (Structured Query Language) #Storage #Azure ADLS (Azure Data Lake Storage) #Cloud #DevOps #Linux #Shell Scripting #Azure Data Factory #Databricks #Azure #Strategy #Unix #GitHub #Data Pipeline #ADF (Azure Data Factory) #Data Lake #ADLS (Azure Data Lake Storage)
Role description
I am recruiting for a suitably experienced Data Engineer for this initial 6 month Contract. • You will need to have current active SC Clearance for this contract. • Banking domain experience highly beneficial Data Engineer Contract length: 6 Months + Location: London - Hybrid - 3 days on-site Day Rate: £300.00 - Outside IR35 Key Skills & Experience • Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. • Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. • Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps). • Strong understanding of data architecture principles and cloud-native design patterns. • Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy. • Proficiency in Linux/Unix environments and shell scripting. • Deep understanding of source control, testing strategies, and agile development practices. • Self-motivated with a strategic mindset and a passion for driving innovation in data engineering. • Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. • Apache Airflow • Data modelling and metadata management • Experience influencing enterprise data strategy and contributing to architectural governance.