Zeal Group

Multi-asset trading technology group

Data Engineer

Data Engineering +1Confirmed live in the last 24 hours

Full-timeShenzhen, Guangdong Province, ChinaNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or higher; a major in Computer Science, Data Science, Statistics, Information Management, or a related field is preferred.
At least five years of experience in data BI development and data warehouse development, including practical experience building a complete data warehouse and developing BI reports end to end; familiarity with layered data warehouse modeling (ODS, DW, DM) is preferred.
Expertise in SQL and proficiency with mainstream databases such as MySQL, Oracle, and Hive, including complex SQL development and optimization and database performance tuning.
Familiarity with Python or Java for data processing, script development, and ETL workflow optimization, supported by practical project experience.
Proficiency with BI tools such as Tableau, Power BI, and FineBI, including end-to-end data extraction, cleaning, visualization, report creation, and dashboard design; knowledge of visualization best practices is preferred.
Familiarity with ETL tools such as Kettle and Informatica, and knowledge of data extraction, transformation, loading, and optimization for complex data integration scenarios.
Strong business understanding and ability to translate business needs into data development and BI reporting requirements; ability to build an indicator system is preferred.
Familiarity with the BigQuery ecosystem is preferred.
English proficiency sufficient to use English as a working language, read technical documentation, communicate independently across departments and regions, and write English emails and technical reports and participate in meetings.

Responsibilities

Design, develop, maintain, and optimize the enterprise data warehouse; build an architecture aligned with business needs and integrate, clean, transform, and load data from multiple sources to ensure accuracy, completeness, and timeliness and support enterprise data asset development and governance.
Develop BI reports end to end, including requirements gathering, metric definition, data extraction, visualization, interactive dashboards, recurring reports, and special analysis reports to support business analysis and decision-making and turn raw data into actionable business insights.
Use Python or Java for data development and scripting, optimize data processing workflows and development efficiency and system performance, and solve technical challenges in data development and BI reporting.
Work with business departments to clarify data needs and provide data consulting and technical support; promote data-driven decision-making, participate in data quality monitoring and improvement, establish data validation mechanisms, and resolve data anomalies.
Participate in cross-department projects and communicate in English with overseas teams, review English technical documentation, and write English technical reports to support cross-region and cross-team data work.
Monitor data technology trends and introduce appropriate technologies and methods; continuously improve the data warehouse architecture, ETL processes, and BI reporting system to enhance data service capabilities.

Data Engineer

Zeal Group · Shenzhen, China · — · Posted 2026-05-07

Workplace: on_site

Department: Data

Description

负责企业数据仓库的设计、开发、维护与优化，搭建符合业务需求的数仓架构，实现多源数据的整合、清洗、转换与加载（ETL），保障数据的准确性、完整性和时效性，支撑企业数据资产沉淀与治理工作。
负责BI报表全流程开发，包括需求梳理、指标定义、数据提取、可视化制作，设计交互式仪表盘、常规报表及专项分析报表，满足业务部门的数据分析与决策支持需求，将 raw 数据转化为可落地的业务洞察。
运用Python或Java语言进行数据开发、脚本编写，优化数据处理流程，提升数据开发效率与系统性能，解决数据开发及BI报表制作过程中的技术难题。
配合业务部门梳理数据需求，提供数据咨询与技术支持，推动数据驱动业务决策，参与数据质量监控与优化，建立数据校验机制，处理数据异常问题。
参与跨部门协作项目，使用英语作为工作语言开展沟通，包括对接海外团队、查阅英文技术文档、撰写英文技术报告等，确保跨区域、跨团队的数据相关工作顺畅推进。
关注行业数据技术发展趋势，引入合适的技术与方法，持续优化数仓架构、ETL流程及BI报表体系，提升数据服务能力。

Requirements

本科及以上学历，计算机、数据科学、统计学、信息管理等相关专业优先；
具备5年及以上数据BI开发与数据仓库开发相关工作经验，有完整的数仓搭建与BI报表全流程开发实战经验，熟悉数仓分层建模（ODS、DW、DM层）方法论者优先。
精通SQL，熟练使用主流数据库（如MySQL、Oracle、Hive等），具备复杂SQL编写、优化及数据库性能调优能力；
熟悉Python或Java编程语言，能够运用其进行数据处理、脚本开发、ETL流程优化，有相关项目实战经验；
熟练掌握BI工具（如Tableau、Power BI、FineBI等），能够独立完成从数据提取、清洗到可视化报表制作、仪表盘设计的全流程工作，了解可视化设计最佳实践者优先；
熟悉ETL工具（如Kettle、Informatica等），掌握数据抽取、转换、加载的核心逻辑与优化方法，能够处理复杂数据集成场景；
具备良好的业务理解能力，能够快速梳理业务需求，将业务需求转化为数据开发与BI报表需求，具备指标体系构建能力者优先；
熟悉Big query生态者更佳。
英语可作为工作语言，能够熟练阅读英文技术文档，具备良好的英语听说读写能力，可独立使用英语开展跨部门、跨区域沟通，完成英文邮件、技术报告撰写及会议沟通等工作。

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About the Company

Zeal Group

Multi-asset trading technology group

Zeal Group operates as a group of regulated financial institutions and trading-technology businesses. It provides multi-asset trading platforms, execution, liquidity, market data, and related services for retail and institutional participants. In practice, technology and commercial teams operate alongside risk, compliance, operations, finance, and customer support. The profile is Zeal Group and avoids implying that trading products are suitable for every user. Roles span software engineering, product, dealing, quantitative work, compliance, sales, marketing, and business operations.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: 2017

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