Financial Data Engineer

Job not on LinkedIn

April 8

Apply Now

Receive Emails with Similar Jobs

PyData Paris

WebsiteLinkedInAll Job Openings

Crypto • Fintech • Analytics

PyData Paris is a leading provider of crypto data solutions that empower businesses with actionable and reliable market data. They offer a wide range of products, including market data feeds for front and mid-office operations, proprietary data analytics for risk analysis and pricing, and monitoring solutions for compliance and market integrity. With a focus on serving both crypto-native and financial institutions, PyData Paris has established a reputation for high-quality, trusted services that support various aspects of the investment lifecycle.

2 - 10 employees

₿ Crypto

💳 Fintech

📋 Description

• Founded in 2014, Kaiko is a global fintech company with offices in New York City, London, Paris, and Singapore. • As a rapidly growing leader in the crypto market data and index industry, we serve financial institutions and enterprises engaged in digital assets. • If you’re interested in building high-performance systems for financial data processing, join our team! • You’ll be responsible for designing, developing, and testing solutions for market data analysis, pricing models, and risk management. • Your work will involve optimizing distributed data architectures, implementing financial algorithms, and improving existing systems to handle real-time and historical financial data efficiently. • You’ll also conduct market research, analyze large datasets to solve complex engineering and financial problems, and stay up-to-date with the latest trends in quantitative finance and technology.

🎯 Requirements

• Bachelor's degree in Engineering, Computer Science, or a related field • Strong experience developing backend services, data pipelines, and microservices using multiple programming languages. • Familiarity with Rust and a willingness to work with it. • Knowledge of other programming languages such as Python or JavaScript. • Experience with distributed databases and strong knowledge of low-level system details. • Proficiency in concurrent programming, Go routines, and Go’s built-in data structures. • Experience with databases (SQL and/or NoSQL) and query optimization. • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. • Knowledge of CI/CD pipelines and automated testing frameworks. • Familiarity with monitoring and logging tools to maintain system health and performance. • Experience with containerization and orchestration tools like Docker and Kubernetes. • Strong problem-solving skills and the ability to analyze complex system interactions. • Ability to challenge and improve the design of new or existing products while effectively communicating trade-offs and benefits to the product team. • Strong communication and collaboration skills.

🏖️ Benefits

• Paid holidays • The hardware of your choice • Great health insurance • Contribution to your monthly gym subscription • Remote-friendly • Multiple team events (team retreat, casual drinks, etc.) • An entrepreneurial environment with a lot of autonomy and responsibilities