京东
Data Engineer
Data Engineer
发布于 大约 3 小时前普通员工/个人贡献者
北京市
其它
全职员工
仅现场办公
本科
软件工程
ETL
Data Governance
AI 估算 · 25k–40k
海外职位，技能要求高，京东平台加持，伦敦市场薪资水平较高，综合估算中等偏上。
职位详情
关于这个职位
This Data Engineer role at JD Retail focuses on building and optimizing data pipelines for international business, supporting analytics and decision-making. You will work with distributed computing frameworks and data warehouse technologies, collaborating with cross-functional teams to deliver data products. The position is based in London, UK.
最低要求
Education: Bachelor's degree or above in Computer Science, Software Engineering, Data Science, Statistics, or related fields. 2. Work experience: Unlimited, but solid experience in data processing and development is required; experience with large-scale data platforms or data middle platforms is preferred. 3. Technical skills: Proficient in at least one mainstream programming language (Java, Python, Scala, etc.); familiar with distributed computing frameworks (Hadoop, Spark, Flink, etc.) and data warehouse technologies (Hive, HBase, etc.); experience in data modeling, ETL development and optimization; understanding of data governance practices; familiarity with data productization. 4. Business acumen: Good business sensitivity to understand data needs in international business scenarios. 5. Team collaboration: Good Chinese and English communication skills and teamwork spirit. 6. Problem-solving: Independent analysis and problem-solving skills. 7. Responsibility: Strong sense of responsibility and ability to work under pressure. 8. Learning ability: Strong learning ability and innovation awareness.
工作职责
Responsible for data product development and architecture design for international business. 2. Participate in core module development and optimization of the data platform. 3. Track cutting-edge data technologies and apply them to projects. 4. Collaborate with cross-functional teams to understand business requirements. 5. Formulate technical specifications and improve processes. 6. Participate in technical sharing and knowledge accumulation. 7. Work daily in the London office.
AI 洞察
优缺点分析
优点
- Work on international business data, gaining exposure to global markets.
- Access to cutting-edge big data technologies and large-scale data challenges.
- Strong brand platform (JD) with potential for career growth.
- Based in London, offering a diverse work environment.
- Requires proficiency in both Chinese and English communication.
- May involve working across time zones with teams in China.
- High expectations for technical expertise and problem-solving under pressure.
- Ideal for experienced data engineers who want to work on global-scale data platforms and are comfortable with cross-cultural collaboration.
缺点 / 挑战
暂无明显挑战项
角色解读
- From Data Engineer to Senior Data Engineer, architecting larger-scale systems.
- Opportunity to move into Data Architect or Data Platform Lead roles.
- Transition to data product management or technical management with cross-functional experience.
- Design and develop data pipelines and data models to support international business analytics and decision-making.
- Optimize and maintain the data platform to ensure stability, scalability, and performance.
- Collaborate with cross-functional teams to understand business needs and deliver data products.
- Define technical standards and share knowledge within the team.
- Proficiency in Java, Python, or Scala for data engineering.
- Experience with distributed computing frameworks like Hadoop, Spark, or Flink.
- Strong knowledge of data warehouse technologies (Hive, HBase) and ETL processes.
- Good understanding of data governance and data productization.
申请策略
- Tailor your resume to highlight your most relevant big data projects.
- Prepare to discuss trade-offs in data pipeline design and optimization strategies.
- Emphasize experience with Spark/Flink and large-scale data pipeline projects.
- Showcase any work involving international or multi-region data processing.
- Highlight bilingual (Chinese/English) communication skills and global team collaboration.
- Include specific metrics (e.g., data volume, performance improvements) for past projects.
- Deepen knowledge of real-time stream processing with Flink or Kafka.
- Learn about cloud-native data platforms (e.g., AWS, GCP) if not already familiar.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- For technical design questions, outline requirements, trade-offs, and justify your choices.
- Show systematic thinking: start with problem understanding, then propose solution with alternatives.
- Explain how you would design a data warehouse for an international e-commerce business with multiple countries.
- Describe a challenging data pipeline issue you resolved and the approach you took.
- How do you ensure data quality and consistency across heterogeneous data sources?
- How would you optimize a slow Spark job processing terabytes of data?
- Discuss your experience with real-time data processing and its challenges.
职位点评
72
综合评分
Technical growth-focused data engineer role at JD Retail in London, with competitive compensation but limited flexibility.
更适合这类人
This role is best suited for candidates who prioritize technical growth and working with cutting-edge big data technologies, and who are comfortable with an office-based role in London.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展85
工作生活60
使命价值70
薪资福利
75中等
The position offers a competitive salary based on London market rate, but the exact compensation is not disclosed. JD is a publicly listed company with standard benefits.
薪资信号未披露（AI估算：25K-40K/月）
成长发展
85较高
The role involves cutting-edge big data technologies and exposure to international business, providing strong technical growth. However, no explicit promotion path is mentioned in the JD.
技术前沿前沿/新兴技术
技术栈Java、Python、Scala、Hadoop、Spark、Flink、Hive、HBase、ETL、Data Modeling、Data Governance
成长机会技术分享与知识沉淀、团队整体专业能力提升
业务类型profit_center
工作生活
60中等
The role is office-based in London with no mention of flexible working. International collaboration may require flexible hours. No WLB signals in the JD.
工作模式仅现场办公
办公地点未明确
加班情况未提及（无法判断）
使命价值
70中等
Working on international business data for a major e-commerce company can have positive impact on global commerce, but the JD does not emphasize social mission.
行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术
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