Data Engineer

Responsibilities

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• Design, build, and maintain the firm’s data infrastructure using Python, Pandas, Apache Airflow and other relevant tools
• Implement ETL processes to collect, clean, and transform data from a variety of sources
• Collaborate with the researchers to identify and evaluate datasets potentially useful to the investment process
• Optimize data processing pipelines for performance and scalability using AWS and other cloud technologies
• Develop data quality controls to ensure data accuracy and integrity
• Work with software engineers to integrate the data infrastructure with other systems and applications
• Stay up-to-date with the latest developments in data engineering and contribute to the development of best practices within the firm

Technical Requirements

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• At least a graduate degree in a technical field
• Eagerness to learn about financial markets and ways to gain an informational advantage over the competition
• 5+ years of experience in data engineering or a related field
• Strong programming skills in Python and experience working with Pandas
• Experience with AWS or other cloud technologies
• Familiarity with data modeling and database design concepts
• Experience with ETL processes and tools
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work collaboratively in a team environment

Nice to Have

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• KX / KDB+ / q experience
• Exposure to the Agile approach and methodology
• Experience or at least interest in machine learning techniques, time series analysis, and econometrics
• Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other autoencoders
• Basic understanding of equity markets

Company Culture

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• Meritocratic, Ego-free, highly driven team environment
• Perpetual personal and academic development – top-notch Wall St and technology research library of materials (courses, books, research papers, webcasts, etc.)
• Challenging problems and innovative problems to solve every day
• Opportunity to innovate and explore research projects of personal interest, while making a meaningful impact on the business

Benefits & Work Conditions

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• Work hours: usually 8 am – 6 pm Sofia time, 100% in the office. Off days on some US (New York Stock Exchange) holidays, (not Bulgarian holidays)
• 28 days of paid time off (includes 6 sick days)
• Multiple parking and garage spots in the office building
• Unlimited high-quality espresso and coffee in the office
• Lunch is provided in the office on Mondays and Fridays
• Healthy snacks and beverages in the office
• Office kitchen (microwave, fridge, espresso machine, etc.) and 2 bathrooms
• Free fitness/gym subscription
• Subsidy towards additional health insurance
• Team building events
• Modern office with a pleasant environment, high-tech equipment, and a great location – 180-degree city and mountain views from the top floor
• Referral program for bringing in new talent

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We are proud to be an equal opportunity workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

28 days of paid time off (includes 6 sick days)
Multiple parking and garage spots in the office building
Unlimited high-quality espresso and coffee in the office
Lunch is provided in the office on Mondays and Fridays
Healthy snacks and beverages in the office
Office kitchen (microwave, fridge, espresso machine, etc.) and 2 bathrooms
Free fitness/gym subscription
Subsidy towards additional health insurance
Team building events
Modern office with a pleasant environment, high-tech equipment, and a great location – 180-degree city and mountain views from the top floor
Referral program for bringing in new talent ​