At a Glance
- Tasks: Design and build scalable data pipelines for analytics and machine learning.
- Company: Join JD.com, a global leader in technology and supply chain innovation.
- Benefits: Competitive salary, supportive culture, and global project opportunities.
- Other info: Diverse and inclusive workplace with excellent career growth potential.
- Why this job: Make an impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 3+ years in data engineering and proficiency in SQL and programming languages.
The predicted salary is between 60000 - 80000 £ per year.
Who We Are
At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.
Our Global Reach
JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.
What We Offer
Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.
About The Team
You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.
Key Responsibilities:
- Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training.
- Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets.
- Ensure data quality, consistency, and compliance with regulations such as GDPR.
- Collaborate with data scientists and product teams to deliver reliable, well-structured datasets for experimentation and decision-making.
- Implement monitoring and automation to improve pipeline efficiency and minimize downtime.
- Contribute to the development of the overall data infrastructure roadmap for JD.com’s global operations.
Work onsite in London, UK.
Qualifications:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 3+ years of experience in data engineering, big data infrastructure, or large-scale ETL development.
- Proficiency in SQL and programming languages such as Python, Java, or Scala.
- Hands-on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure).
- Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi).
- Strong knowledge of data security, compliance, and governance frameworks.
- Effective communication in English.
Preferred Qualifications:
- Experience in e-commerce or consumer-facing platforms.
- Track record of building data platforms in cross-border or international contexts.
- Familiarity with real-time streaming frameworks (e.g., Kafka, Pulsar).
- Effective communication in Chinese.
At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
Ready to apply? Take the next step in your career, apply now and explore the opportunities we have to offer.
Data Engineer in London employer: Limited
At JD.com, we pride ourselves on being a forward-thinking employer that champions innovation and personal growth. Our London office offers a vibrant work culture where collaboration and inclusivity are at the forefront, alongside competitive salaries and access to global projects that empower you to make a meaningful impact. Join us to be part of a dynamic team dedicated to shaping the future of technology and supply chain solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at JD.com on LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about big data frameworks and cloud platforms. We want to see your passion for data engineering shine through!
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked on relevant projects, be ready to discuss them in detail. We love seeing real-world applications of your skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at JD.com.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with big data processing, SQL, and any relevant cloud platforms. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to JD.com’s mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you’ve worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your technical expertise and problem-solving skills. We’re keen to see what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Limited
✨Know Your Data Inside Out
Before the interview, brush up on your knowledge of data engineering concepts, especially those relevant to JD.com. Be prepared to discuss your experience with big data frameworks like Spark or Hadoop, and how you've implemented ETL processes in past roles.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges. Practice explaining your thought process clearly and logically. Use examples from your previous work where you successfully solved complex data issues, highlighting your analytical skills and creativity.
✨Understand the Company’s Global Impact
Familiarise yourself with JD.com’s operations and their global reach. Be ready to discuss how your role as a Data Engineer can contribute to their mission of creating smarter, faster solutions for customers worldwide. This shows your genuine interest in the company and its goals.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about the team dynamics, the technologies they use, or how they measure success in data projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
