Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop data solutions and optimise Amazon's retail operations in Japan.
- Company: Join Amazon's innovative Science and Data Technologies team in Tokyo.
- Benefits: Enjoy a diverse work environment with opportunities for continuous learning and cutting-edge technology.
- Why this job: Make a significant impact in e-commerce while collaborating with global teams.
- Qualifications: Bachelor's degree in a technical field and 3+ years of relevant experience required.
- Other info: Inclusive culture with support for applicants needing accommodations.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data TechnologiesAre you passionate about working with data and eager to make broad business impact in the rapidly evolving e-commerce business? Are you interested in building data and science solutions to drive strategic direction? Based in Tokyo, the Science and Data Technologies team designs, builds, operates, and scales the data infrastructure powering Amazon\’s retail business in Japan. Working with a diverse, global team serving customers and partners worldwide, you can make a significant impact while continuously learning and experimenting with cutting-edge technologies. The ideal data engineer thrives on working with large-scale data, excels in highly complex technical environments, and above all, has a passion for data. You will lead the development of data solutions to optimize Amazon\’s retail operations in Japan, turning business needs into robust data pipelines and architecture. Leveraging your deep experience in data infrastructure and passion for enabling data-driven business impact, you will work closely with scientists, software engineers and business teams to identify and implement strategic data opportunities.Key job responsibilitiesYour key responsibilities include:- Create data solutions with AWS services such as Redshift, S3, EMR, Lambda, SageMaker, CloudWatch etc.- Implement robust data solutions and scalable data architectures.- Develop and improve the operational excellence, data quality, monitoring and data governance.BASIC QUALIFICATIONS- Bachelor\’s degree in computer science, engineering, mathematics, or a related technical discipline.- 3+ years of experience as a Data Engineer or in a similar role.- 3+ years of experience with data modeling, data warehousing, ETL/ELT pipelines and BI tools.- Experience with cloud-based big data technology stacks (e.g., Hadoop, Spark, Redshift, S3, EMR, SageMaker, DynamoDB etc.)- Knowledge of data management and data storage principles.- Expert-level proficiency in writing and optimizing SQL.- Ability to write code in Python for data processing.- Business level English (written and verbal)PREFERRED QUALIFICATIONS- Experience working with AWS technologies (e.g., Lambda, CloudWatch, QuickSight, Athena, RDS, etc.).- Experience in MLOps, generative AI, large language models (LLMs), and collaborating with data science teams.- Experience providing technical leadership and mentoring other engineers on best practices for data engineering.- Experience in software engineering – agile processes, coding standards/reviews, source control, CI/CD, testing, deployment, and production operations.- Proficiency in Japanese language (verbal and written).Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Posted: March 24, 2025 (Updated about 1 hour ago)Posted: May 30, 2025 (Updated about 3 hours ago)Posted: June 25, 2025 (Updated about 3 hours ago)Posted: June 25, 2025 (Updated about 4 hours ago)Posted: April 29, 2025 (Updated about 4 hours ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data Technologies employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data Technologies
✨Tip Number 1
Familiarise yourself with AWS services, especially those mentioned in the job description like Redshift, S3, and Lambda. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Amazon, particularly those in data engineering roles. They can provide insights into the company culture and specific expectations for the role, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data modelling and ETL/ELT pipelines in detail. Be ready to share specific examples of how you've optimised data solutions in previous roles, as this will demonstrate your practical knowledge.
✨Tip Number 4
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project that involves data processing using these languages to showcase your capabilities during the interview.
We think you need these skills to ace Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data Technologies
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS services and big data technologies. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your ability to drive business impact. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL and Python, as well as your experience with data modelling and ETL/ELT pipelines. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with scientists and software engineers, include examples of past teamwork and collaboration. This will demonstrate your ability to work effectively in a diverse team environment.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services and big data technologies. Highlight specific projects where you've implemented data solutions using tools like Redshift, S3, or EMR, and be ready to explain the impact of your work.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you approached a problem and the results you achieved.
✨Emphasise Collaboration
Since the role involves working closely with scientists and software engineers, share examples of how you've successfully collaborated in cross-functional teams. Discuss your communication style and how you ensure alignment on project goals.
✨Prepare for Behavioural Questions
Familiarise yourself with common behavioural interview questions. Reflect on your past experiences and be ready to discuss how you've handled challenges, adapted to change, and contributed to team success in previous roles.
