Senior Data Engineer/Scientist - Python, Pandas, Numpy, Banking

Harvey Nash Group; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading investment bank located in London is seeking a Senior Data Engineer/Data Scientist to support Front Office operations. This role involves building data pipelines for analytics, ensuring compliance with regulatory reporting, and optimizing data models for trading metrics. The ideal candidate should have strong skills in Python, SQL, Spark, and Power BI, along with experience in the investment banking sector. This full-time role operates within IR35 regulations, requiring on-site presence four days a week.

Qualifications

• Proficiency in Python, SQL, and Spark is essential.
• Experience with investment banking data is vital.
• Strong data engineering skills required to build production pipelines.

Responsibilities

• Build data pipelines for real-time and batch processing of financial data.
• Partner with traders and portfolio managers for analytics solutions.
• Ensure compliance with regulatory reporting requirements.
• Design and maintain Power BI dashboards for reporting.

Skills

Data engineering experience building production pipelines

Python

SQL

Spark proficiency

Pandas/Numpy/Data Science Skillset

Power BI (DAX, Power Query, data modeling)

Experience with investment banking data

Working with front office stakeholders

Tools

Power BI

Azure

Job description

Senior Data Engineer / Data Scientist sought by leading investment bank based in the city of London.

Inside IR35 - 4 days a week on site

Overview

Data Engineer/Data Scientist role supporting Front Office operations with expertise in data engineering, and stakeholder management in investment banking environment.

Key Responsibilities

• Build data pipelines for real-time and batch processing of financial data
• Partner with traders, portfolio managers, and risk teams to deliver analytics solutions
• Ensure compliance with regulatory reporting requirements
• Optimize data models for front office metrics and P&L reporting
• Troubleshoot data quality issues in time-sensitive trading environments
• Design and maintain Power BI dashboards for trading, risk, and regulatory reporting

Required Skills

• Data engineering experience building production pipelines
• Python, SQL, and Spark proficiency.
• Pandas/Numpy / Data Science Skillset
• Experience with investment banking data (trades, positions, market data, reference data)
• BI development with strong Power BI (DAX, Power Query, data modeling)
• Understanding of regulatory reporting processes
• Proven ability to work directly with demanding front office stakeholders
• Experience with real-time data feeds and low-latency requirements

Preferred Skills

• Capital markets knowledge (equities, fixed income, derivatives)
• Experience with financial data vendors (Bloomberg, Reuters, MarkIt)
• Cloud platforms (Azure preferred) and orchestration tools
• Understanding of risk metrics and P&L calculations

Please apply within for further details or call on 07393149627
Alex Reeder
Harvey Nash Finance & Banking