Data Engineer

Overview In this role you will build and optimize data-intensive analytics for multi-asset strategies, partnering with quants, PMs, and risk managers. You will shape data platforms and standards, enable scalable pipelines, and contribute to AI-powered tooling for monitoring and automation. The position sits at the intersection of technology and finance, supporting fast-paced decision-making and continuous learning. You will thrive by delivering reliable data infrastructure that underpins trading and risk analytics. Compensation / Benefitsbase salary plus discretionary performance bonuscomprehensive benefitsopportunity for career growthdynamic, collaborative cultureglobal team exposureflexible learning and development ResponsibilitiesCollaborate with quants, portfolio managers, risk managers and engineers to develop data-driven analytics for fixed income, risk, and commoditiesGather requirements and feedback from users and project leads to refine data solutionsProvide expertise on database platforms, including data modeling reviews and query/performance tuningDefine and enforce database standards and security practicesReview and upgrade maintenance, monitoring, and alerting processesPartner with DevOps to build AI-powered automation for data pipelines and system monitoringStay current with industry trends, new databases and data engineering toolsSupport data quality, governance, and metadata management practices Key requirementsBachelor's or Master's degree in Computer Science or equivalent field2+ years in data or database engineering with design/build/maintenance of reliable data pipelinesStrong SQL and relational databases (Microsoft SQL Server, PostgreSQL)Experience with NoSQL databases (MongoDB or similar) a plusCloud data platforms on AWS and/or GCP; familiarity with data lakes and formats (S3, Parquet, Iceberg, Hive) and Starburst/Trino a plusExperience with Snowflake, ClickHouse, Spark, or Databricks; monitoring tools (Datadog, Grafana)Data modeling, data quality, schema evolution, metadata management, data governanceFamiliarity with AI/ML concepts and integrating AI into data workflowsUnix/Linux proficiency with Python or Java; strong ownership and collaborationAbility to work in a fast-paced, learning-focused environmentCollaborative mindsetAttention to detailFast learnerSQL (MS SQL Server, PostgreSQL)MongoDB or NoSQLAWS and/or GCP data platforms