We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team. The ideal candidate is a strong team player who can also lead, and who takes ownership of building, implementing, and maintaining robust data pipelines and data products that support our business objectives. This role blends strong engineering skills with a product mindset - ensuring data integrity, optimizing data workflows, working with big data at scale, and using modern AI tools to work faster and smarter. Financial-industry knowledge is not required for this role, but it is a plus.
Your Day-to-Day
Design, develop, and maintain scalable, big-data pipelines and ETL/ELT processes.
Implement and maintain data models, schemas, and documentation, ensuring they are built efficiently, reliably, and are well documented.
Collaborate with product managers, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources, and build monitoring around it.
Design and implement data solutions end-to-end - from architecture and integration through delivery of production-grade data products.
Optimize pipeline performance and troubleshoot complex issues.
Use AI tools as part of the daily workflow (with an emphasis on Claude) to speed up development, automate repetitive work, and improve output quality.
Stay updated with the latest industry trends and best practices in data engineering, big data, and AI-assisted development.
Requirements
Proven experience as a Data Engineer - at least 3-5 years.