
Senior BI Developer - Front Office, Power BI,Python,Databricks
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior BI Developer focused on Front Office operations, requiring expertise in Power BI, Python, and data engineering. Contract length is unspecified, pay is inside IR35, and it is on-site in London. Investment banking experience is essential.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
July 2, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Inside IR35
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π - Security clearance
Unknown
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π - Location detailed
London
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π§ - Skills detailed
#Azure #Spark (Apache Spark) #Data Pipeline #Batch #Cloud #Compliance #Data Engineering #SQL (Structured Query Language) #Databricks #Data Modeling #Microsoft Power BI #BI (Business Intelligence) #DAX #Data Quality #Python
Role description
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Senior BI Developer - Front Office, Power BI, Python sought by leading investment bank based in the city of London.
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β’ Inside IR35 - 4 days a week on site
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β’ Overview BI Developer role supporting Front Office operations with expertise in Power BI, data engineering, and stakeholder management in investment banking environment.
Key Responsibilities
β’ Design and maintain Power BI dashboards for trading, risk, and regulatory reporting
β’ Build data pipelines for real-time and batch processing of financial data
β’ Partner with traders, portfolio managers, and risk teams to deliver analytics solutions
β’ Ensure compliance with regulatory reporting requirements
β’ Optimize data models for front office metrics and P&L reporting
β’ Troubleshoot data quality issues in time-sensitive trading environments
Required Skills
β’ BI development with strong Power BI (DAX, Power Query, data modeling)
β’ Data engineering experience building production pipelines
β’ Python, SQL, and Spark proficiency
β’ Experience with investment banking data (trades, positions, market data, reference data)
β’ Understanding of regulatory reporting processes
β’ Proven ability to work directly with demanding front office stakeholders
β’ Experience with real-time data feeds and low-latency requirements
Preferred Skills
β’ Databricks experience
β’ Capital markets knowledge (equities, fixed income, derivatives)
β’ Experience with financial data vendors (Bloomberg, Reuters, MarkIt)
β’ Cloud platforms (Azure preferred) and orchestration tools
β’ Understanding of risk metrics and P&L calculations
Please apply within for further details or call on
Alex Reeder
Harvey Nash Finance & Banking