Data Engineering - 330+个职位

Job Description Must have Skills : SQL (Strong), Power BI (Expert), ETL Concepts (Strong) Job Description : Key Responsibilities - Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. - Analyze large datasets to identify trends, patterns, and actionable insight

Nagarro

Job Description Must have Skills : SQL (Strong), Power BI (Expert), ETL Concepts (Strong), Qlik Sense (Expert) Job Description : Key Responsibilities - Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. - Analyze large datasets to identify trends, patterns, a

Hong Kong Exchanges and Clearing

Location: CN-Shenzhen-HyQ Shift: Standard - 40 Hours (China) Scheduled Weekly Hours: 40 Worker Type: Permanent Job Summary: The AVP under Site Reliability Engineering (SRE) in the Chief Data Office plays a critical role in maintaining and enhancing the reliability, performance, and scalability of ou

Nagarro

Job Description Must have Skills : SQL (Strong), Power BI (Expert), ETL Concepts (Strong) Key Responsibilities - Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. - Analyze large datasets to identify trends, patterns, and actionable insights. - Develop and m

Job Description Responsibilities Responsible for the solution design, development, implementation and integration of the NoC system 2. Cooperate with the verification team to ensure that the function realization and performance of the NoC meet the standards 3. Cooperate with the middle and back-end

该职位来源于猎聘 【岗位职责】 1. 负责公司数据平台的设计、开发与维护，搭建稳定、高效的数据处理流程； 2. 构建和优化数据采集、清洗、转换（ETL/ELT）流程，支持数据仓库建设； 3. 与数据分析师、算法工程师合作，提供结构化和非结构化数据支持； 4. 管理和优化数据存储系统（如Hadoop、Spark、Hive、ClickHouse等）； 5. 负责数据质量管理，保障数据的完整性、准确性与时效性； 6. 参与公司数据治理体系建设，推动数据标准化与数据资产管理。 ________________________________________ 【任职要求】 1. 本科及以上学历，计算机、

巴施帝信息科技(上海)有限公司

¥10,000 - ¥21,000 /年

该职位来源于猎聘 工作时间： 北京 上午 8:30— 下午 5:30 天津 上午 7:30— 下午 4:30 我们正在招募一名复合型大数据与后端服务工程师，要求兼具扎实的数据工程能力与软件服务开发能力。在该岗位上，你将承担重要职责：不仅需要搭建高扩展性的数据管道与计算平台，还需落地核心数据产品与工具，挖掘数据的商业价值，为未来人工智能服务筑牢技术根基。 工作内容 参与数据平台的搭建工作。 设计、构建并维护高吞吐量、容错性强的数据管道，同时开发高效的数据处理任务，保障数据采集、清洗、整合及处理流程的稳定可靠。 参与后端基础设施服务开发，基于大数据平台构建后端逻辑系统（如数据工具、数据管理平台），

该职位来源于猎聘 这是一个以数据建模和数据工程为核心、并以 AI‑First 作为默认工作方式的数据开发工程师岗位。 该岗位不仅要求具备扎实的数据建模、SQL 开发和数据工程能力，更要求在数据建模、开发、治理和问题分析中，优先设计 AI 参与的工作流程，由工程师聚焦关键判断、风险控制和复杂决策。 我们希望你不是“会用 AI 的数据工程师”，而是能够围绕 AI 重构自己工作方式的 AI‑First 数据开发工程师。 PRINCIPAL ACCOUNTABILITIES: Describe the major activities of the job, emphasizing the end r

该职位来源于猎聘 岗位职责： 1、负责制造业数据采集、清洗与整合 2、开发数据管道，支持AI系统的数据供给 3、构建网络爬虫系统，收集行业与技术数据 4、实现AI系统的function calling/tool calling集成 招聘要求： 1、3年以上数据工程或后端开发经验、精通网络爬虫技术和反爬策略，熟悉Scrapy/Selenium等框架 2、熟练掌握数据清洗、处理和质量控制流程 3、熟悉提示工程（Prompt Engineering）和RAG技术 4、熟悉AI系统中的function calling/tool calling机制 5、有API集成和数据管道构建经验 6、精通 Pyth

该职位来源于猎聘 工作职责： 与跨职能团队协作，发掘AI/ML应用场景 设计、构建并部署机器学习模型 分析海量数据集以提取有效洞见 完整记录开发流程与模型成果 通过可视化图表和报告向利益相关方展示研究成果 持续追踪AI/ML领域最新进展 为定制化及商业智能项目清洗、结构化数据并完成特征工程 基于Azure开发维护数据管道与工作流 支持多团队数据清洗需求 任职要求： 工业数据科学、工程学、计算机科学、AI/ML或相关专业在校学生 扎实的机器学习算法基础 熟练使用Python/R/Java 掌握AI/ML库（如Pinecone/TensorFlow//PyTorch/scikit-learn） 熟

该职位来源于猎聘 主要职责 Major Responsibilities  深度数据分析：对车载信息娱乐、语音交互、用户行为等复杂数据集进行深度挖掘，构建分析模型，产出市场分析、用户洞察、产品性能评估等报告。  机器学习/深度学习应用：利用Python、R等工具，运用机器学习、深度学习等技术，挖掘结构化与非结构化数据中的价值，支持如智能推荐、用户画像构建等高级用例。  数据可视化与报告：熟练使用Tableau、Excel等BI工具，将复杂分析结果转化为清晰、直观的可视化看板和报告，服务于产品经理和管理层的决策。  数据探索与准备：作为数据消费者，从数据源/AWS数据湖中提取数据，优化数

Optiver

Optiver is a leading global market maker powered by technology, rigorous research, and deep collaboration. As we become increasingly data-driven, our ability to capture, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We are seeking a Data Engineer to jo

Finalroundai

Are you a data whisperer with a hacker's soul? Do you love to dive deep into complex AI-native applications and systems, extract meaningful insights, scale up data assets storage, and build elegant solutions that influence product decisions and user experience worldwide? If you thrive on challenging

ZEISS

1.Utilize and analyze the data created in manufacturing, perform data cleaning, visualization and analysis according to the need of Dept KPI and Operation KPI improvement. Dept KPI include: Yield, Energy Consumption, Down Time, maintenance cost, etc; Operation KPI include: Cost, On time Delivery, et

Ericsson

Join our Team About this opportunity We are now looking for intern to assist software development and data analytics include the study, development for automation and AI use cases, data management, data engineering and data analytics. The intern will be part of Automation &Solution team for solution

Company Introduction Polymer Capital Management is a market-neutral, multi-manager investment platform focused on Asia. Our goal is to discover and nurture the region's top investment talent by combining established institutional support with extensive local financial market knowledge. We were found

Scopely

Scopely is looking for a Server Engineer, Data to join an unannounced title based in our Shanghai office (5 days in the office). At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep c

Monolithic Power Systems, Inc. (MPS) is one of the fastest growing companies in the Semiconductor industry. We are worldwide technical leaders in Integrated Power Semiconductors and Systems Power delivery architectures. At MPS, we cultivate creativity, are passionate about sustainability, and are co

Job Req Number: 110691 Time Type: Full Time DSV is a leading logistics company operating in 80 countries with over 160,000 employees. The Centre of Insight and Analytics (CIA) in Global Finance is seeking a Senior Data Engineer with a passion for Data to join our Contract Logistics Business Intellig

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fea