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 the data infrastructure, leveraging Kafka, RabbitMQ, Airflow, and ClickHouse to power mission-critical financial analytics. You will bridge the gap between complex business requirements and high-performance engineering, ensuring data pipelines can handle the rigours of 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 to ensure sub-second data availability
• Act as the subject matter expert for ClickHouse, optimising complex schema designs, indexing strategies, and query performance for large-scale financial datasets
• Oversee the deployment of data services within cloud environments, implementing advanced security protocols 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 advanced monitoring and automated recovery systems to ensure the integrity and quality of high-stakes financial data

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments
• Experience within the Finance or Trading technology sector, with a proven track record of handling real-time market or transactional data
• Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines
• Extensive SQL knowledge and experience
• Excellent problem-solving skills and the ability to work collaboratively in a team environment
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Benefits

• Hybrid working arrangement - 2 Days of remote work per week
• Complimentary snacks and beverages available in the office pantry
• Healthcare coverage (medical, dental, optical), gym benefits
• Flexibility in smart casual dress code