Senior Data Engineer

You will be a technical leader responsible for the architecture, scalability, and reliability of a high-throughput, real-time data ecosystem. You will oversee the evolution of data infrastructure using Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics and ensure pipelines support real-time financial data processing.

Responsibilities

• Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines
• Drive the strategy for real-time messaging and stream processing using Kafka and RabbitMQ
• Act as the subject matter expert for ClickHouse, optimizing schemas, indexes, and query performance
• Oversee deployment of data services in cloud environments with security and data governance standards
• Collaborate with senior leadership to align data strategy with business objectives
• Mentor data engineers through code reviews and technical guidance
• Implement monitoring and automated recovery systems for financial data integrity

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven data engineering experience designing and implementing ETL processes in cloud environments
• Experience in finance or trading technology handling real-time market or transactional data
• Strong Python programming skills for scalable data processing pipelines
• Extensive SQL knowledge and experience
• Excellent problem-solving and collaboration skills
• Strong communication skills for explaining technical concepts to non-technical stakeholders

Benefits

• Hybrid working arrangement with 2 days of remote work per week
• Opportunities for career growth and exposure to regional contexts
• Complimentary snacks and beverages in the office pantry
• Healthcare coverage including medical, dental, and optical benefits
• Gym benefits
• Smart casual dress code
• Young, vibrant, and open work culture