Senior Data Engineer, Trumid

• You are a seasoned data engineering leader who thinks like an owner
• You have a strong analytical mind, a passion for solving complex problems in a practical setting, and a track record of building systems that stand the test of time
• You see the bigger picture, from raw data ingestion to the production models and BI dashboards that consume it
• You excel at mentoring others and are comfortable setting technical direction, driving architectural decisions, and ensuring your team delivers with high standards
• You understand that the success of every data-driven initiative—from a simple KPI to a sophisticated GenAI agent—is built on a foundation of clean, reliable, and well-architected data
• 7+ years of hands-on experience designing, building, and productionizing data-intensive systems
• Demonstrated experience mentoring junior engineers and leading complex technical projects
• Expert-level proficiency in SQL and Python, with deep knowledge of data manipulation libraries and backend development patterns
• Proven track record of architecting, building, and owning mission-critical data systems in a production environment (e.g., data warehouses, data lakes, ETL/ELT pipelines)
• Deep experience with modern batch data processing and orchestration frameworks (e.g., Airflow, Dagster, Prefect)
• Experience with real-time data processing and messaging systems (e.g., Apache Kafka, GCP Pub/Sub)
• Engineering / Quantitative educational background (e.g., Computer Science, Engineering, Mathematics, Economics)

Desirable

• The Data & Intelligence team at Trumid is seeking an experienced data engineer for a role that is central to our strategy in business intelligence, machine learning, and GenAI
• As we work to embed intelligence and automation across our trading workflows, the construction of reliable, high-quality data infrastructure is a mission-critical challenge
• This role will take a leadership position in solving it
• While many organizations separate these functions, we believe a hands-on leader who deeply understands both the data and its downstream use cases will empower us to move faster and achieve superior long-term results
• You will join a team of software engineers, data engineers, data scientists, and quants from diverse backgrounds and play a key role in shaping our technical direction
• Architect & Build: Lead the design, architecture, and implementation of scalable and reliable data pipelines that serve as the foundation for all analytics, from BI dashboards to production ML/AI models
• Own Critical Infrastructure: Take ownership of our core data systems, including our cloud data warehouse, ETL/ELT orchestration, and real-time data processing capabilities. You will drive the technical roadmap to ensure these systems evolve to meet future demands
• Mentor & Lead: Teach, mentor, and oversee less-experienced engineers, establishing best practices for code quality, testing, and operational excellence. You will foster a culture of high standards and continuous improvement
• Collaborate & Deliver: Partner closely with Quantitative Researchers, ML Engineers, and business stakeholders to translate their needs into robust, production-grade data solutions. You will be the expert for the systems underpinning their research and products
• Champion Data Quality: Establish and enforce data quality, governance, and observability standards across all data products to ensure their reliability and build trust with all consumers of data