Harvey Nash
Data Engineer/BI Developer - Capital Markets
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer/BI Developer in Capital Markets, offering a hybrid contract in London. Essential skills include SQL, programming (Python/Scala), and BI tools (Power BI/Tableau). Experience in front-office trading and cloud platforms is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Python #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Microsoft Power BI #Programming #Scala #Qlik #Cloud #Azure #Tableau #SQL (Structured Query Language) #BI (Business Intelligence) #Data Engineering #Data Architecture #Data Processing
Role description
Senior Data Engineer/Power BI Developer - sought by investment bank based in London - Contract - Hybrid
• inside IR35 - umbrella
• Essential:
• Proven experience in a Data Engineeringor BI Developer
• Strong understanding of front-office trading, risk, or market data(not back-office finance or regulatory reporting).
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
Desirable:
• Background in financial services, particularly within investment banking or asset management.
• Experience working with time-series data and real-time data processing.
• Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details - Matt Holmes, Harvey Nash
Senior Data Engineer/Power BI Developer - sought by investment bank based in London - Contract - Hybrid
• inside IR35 - umbrella
• Essential:
• Proven experience in a Data Engineeringor BI Developer
• Strong understanding of front-office trading, risk, or market data(not back-office finance or regulatory reporting).
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with BI tools such as Power BI, Tableau, or Qlik.
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
Desirable:
• Background in financial services, particularly within investment banking or asset management.
• Experience working with time-series data and real-time data processing.
• Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details - Matt Holmes, Harvey Nash
