About
Design, build, and maintain production-grade data pipelines and data‑intensive systems
Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
Deploy and manage data infrastructure on AWS or on‑premises, ensuring scalability, security, and cost‑efficiency
Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
Ensure reliable ingestion, transformation, and availability of large‑scale and time‑series financial data, considering financial‑specific data quality characteristics
Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
Define and evolve data models and storage structures across relational and NoSQL systems
Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
Optimize data processing workflows for performance, reliability, and operational stability
Troubleshoot complex data issues and drive root cause analysis
Contribute to technical decision‑making and help define the roadmap for data infrastructure.
Requirements:
Degree in Computer Science, Engineering, or a related field
Strong programming skills in Java or Python (or other JVM‑based languages)
Strong understanding of data modeling, SQL, and NoSQL databases
Strong focus on data quality, validation, and monitoring practices
Experience working with large‑scale and time‑series datasets in financial contexts, with an understanding of their structure and common data quality challenges
Experience building and maintaining production data pipelines or data‑intensive systems, with focus on reliability and performance
Ability to troubleshoot and optimize production data systems
Experience with workflow orchestration and data pipeline scheduling tools
Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
Strong problem‑solving skills and attention to detail.
Professional proficiency in English.
Benefits:
Competitive salary & truly flexible work environment
Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research
Annual company retreat at a stunning location
Fast‑track career progression, with opportunities to grow into leadership roles
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Languages
- English
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