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Jobs(26,992)/Senior Software Engineer Role(1,183)/DRW (43) - Senior Software Engineer, Cumberland/Options Data
DRW

DRW - Senior Software Engineer, Cumberland/Options Data

London8mo ago
In OfficeSeniorEMEASenior Software EngineerSenior Data EngineerSenior Data ScientistJavaC++PythonLinuxAirflow

Requirements

• A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages • A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments • Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity • Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment • Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading • Experience with Linux-based, concurrent, high-throughput, low-latency software systems • Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) • Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases • Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience • For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. • California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

Responsibilities

• Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. • Take full ownership of data products, guiding them from initial concept through to stable production. • Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. • Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. • Provide on-call support as needed.

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