Data Engineer – Investment Advisory Firm (London)
Join a well-established and highly reputable investment advisory firm in the heart of London, known for its innovative approach and strong market presence. This is an exciting opportunity to become a key player within their established data team, working at the cutting edge of finance and technology.
As a Data Engineer, you will play a critical role in building and optimizing the firm’s data infrastructure, ensuring data reliability, scalability, and accessibility. You will collaborate closely with data scientists, analysts, and software engineers to deliver data-driven insights and solutions that directly impact the firm's investment strategies.
Key Responsibilities:
Design, develop, and maintain robust data pipelines and ETL processes.
Work with large datasets to build scalable data solutions using Python and AWS.
Optimize data architectures to improve data quality and accessibility.
Collaborate with machine learning experts to support model development and deployment.
Monitor and enhance data performance and reliability.
What We’re Looking For:
1-4 years of experience in data engineering, data science, or software development.
Strong proficiency in Python and AWS.
Exposure to machine learning workflows is highly desirable.
Experience with data pipeline tools and data lake architectures.
Solid understanding of data structures, algorithms, and software design principles.
If this role sounds interesting and applicable to your background, please apply by sending your CV to quantresearch@octaviusfinance.com