Company Description Trade W is a leading multi-asset trading platform with over seven years of industry experience, providing global users with secure, convenient, and efficient access to the financial markets. We offer CFD trading across a wide range of asset classes — including forex, cryptocurrencies, stocks, indices, metals, and commodities — through our intuitive app and web platform.Launched in 2018 as the flagship brand of Tradewill Global LLC, Trade W was built on a customer-first philosophy and a vision to make trading success more accessible. Today, we continue to grow as a trusted platform, committed to empowering traders worldwide with equal opportunities for success.Job Summary We are seeking a Data Development Engineer to build and maintain high-performance data infrastructure that supports risk control, quantitative research, trading analytics, and real-time monitoring.Responsibilities1. Data Warehouse Development Build domain data warehouses (orders, risk, users) using Postgre SQL / Click House Design table structures, partitions, materialized views, and optimize queries2. Real-time and Batch Data Pipelines Develop ETL/ELT pipelines using Kafka + Spark/Flink, Airflow/Dagster Handle market data, order flow, and risk-related data ingestion3. Internal Data Services Develop internal data service APIs using Python or Java Support risk dashboards, quantitative research, and trading analysis4. Data Visualization Support Collaborate with BI teams (Fine BI, Power BI, Tableau) to build analytical reports for risk, trading, and user behavior analysis5. Data Quality and Monitoring Establish data validation, monitoring, and alerting mechanisms to ensure stability and consistency6. Optional: On-chain Data Participate in blockchain data collection and modeling Integrate node RPC / block explorers to support DeFi and quantitative strategies Requirements Education and Experience Bachelor’s degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or related fields Graduated from Double First-Class / 211 / 985 / QS Top 200 universities preferred Minimum 3 years of experience in data development Technical Skills Strong SQL skills, familiar with one of Click House / Postgre SQL / kdb+Knowledge of OLAP concepts, partitioning, sharding, materialized views Experience with Kafka and Spark/Flink (at least one) Proficient in Python or Java with good engineering practices (logging, testing, Git) Experience with BI tools or data visualization; able to communicate with business, risk, and quant teams Preferred Qualifications Experience with securities, futures, forex, or trading-related data Experience handling K-line, order book, or tick-level data modeling and optimization Experience in on-chain analytics (Dune, Flipside, The Graph, node RPC)岗位职责1. 数仓建设基于 Postgre SQL / Click House 搭建订单、风控、用户等主题数仓负责表结构设计、分区、物化视图与查询优化2. 实时与离线数据管道使用 Kafka + Spark/Flink、Airflow/Dagster 构建实时及批处理数据管道负责行情、订单、风控信号等数据的采集与处理3. 内部数据服务开发使用 Python 或 Java 开发内部数据服务接口支撑风控看板、量化研究与交易分析应用4. 数据可视化支持配合 BI 团队（Fine BI / Power BI / Tableau）建设风控、交易、用户行为分析报表5. 数据质量与监控建立数据校验、监控与告警机制，确保数据稳定可靠6. 可选：链上数据参与链上数据采集与建模，对接节点或区块浏览器为 DeFi / 量化策略提供链上行情和交易数据支持任职要求学历与经验计算机、软件工程、数学、统计等相关专业本科及以上双一流 / 211 / 985 / QS200 院校优先三年以上数据开发经验技术能力SQL 扎实，熟悉 Click House / Postgre SQL / kdb+ 任一了解 OLAP、分区、物化视图、性能优化等概念熟悉 Kafka 和 Spark/Flink 至少其一熟练掌握 Python 或 Java，具有良好的工程化习惯（日志、测试、Git）有数据可视化或 BI 报表经验，能与风险、量化、业务团队顺畅沟通需求加分项有证券、期货、外汇、交易数据等项目经验有 K 线、订单簿、Tick 等高频数据经验参与过链上数据采集或分析（Dune、Flipside、The Graph、节点 RPC 等）