Data Engineer/Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Analyst on a 12-month contract in Fintech/Analytics, hybrid (2 days in London). Requires 3–5 years in data analytics, strong SQL, PySpark, and Python skills, with big data project experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Datasets #PySpark #Data Pipeline #Python #Visualization #Version Control #SQL (Structured Query Language) #Spark (Apache Spark) #Big Data #Scala #GIT #Data Engineering
Role description
Data Engineer/Analyst - 12 month contract - Fintech/Analytics - Hybrid (2 days London) - Inside IR35
The chosen candidate will own PySpark table implementation, business logic translation, and data validation. They will also support payments analysis, improve data infrastructure, and develop scalable solutions to meet evolving needs.
Overview:
3–5 years in data analytics and visualization
Industry experience with big data projects
Strong SQL and PySpark skills
Proficient in Python
Experience with large datasets and data pipelines
Familiar with big data tools and version control (e.g., Git)
Knowledge of financial metrics (a plus)
Strong communication and stakeholder skills
Detail-oriented with strategic thinking
Data Engineer/Analyst - 12 month contract - Fintech/Analytics - Hybrid (2 days London) - Inside IR35
The chosen candidate will own PySpark table implementation, business logic translation, and data validation. They will also support payments analysis, improve data infrastructure, and develop scalable solutions to meet evolving needs.
Overview:
3–5 years in data analytics and visualization
Industry experience with big data projects
Strong SQL and PySpark skills
Proficient in Python
Experience with large datasets and data pipelines
Familiar with big data tools and version control (e.g., Git)
Knowledge of financial metrics (a plus)
Strong communication and stakeholder skills
Detail-oriented with strategic thinking
