Front Office Data Engineer/Scientist for Real-Time Analytics

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

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.