Section 1:  Responsibility Summary

The data engineer owns data storage and data models of the data science team. The role is responsible for assembling and maintaining large, complex data sets from a variety of different sources in different formats (JSON, XML, databases, web services) to tackle identified use cases. The data engineer ensures that the data scientists have the data required to build the use case models. In addition, the data engineer also participates in early model development, and provides input on how to improve proposed solutions and implement changes.

This role also liaises closely with IT's EDM team in order to provide technical support related to data structures, data models, meta data management and it helps to drive the cloud-based machine learning roadmap.

Working with multiple teams across the business is crucial to understand their goals, challenges and priorities. Hence, strong communication skills are essential – for highly technical discussions as well as translating ideas to less technical stake holders.

Section 2:  Key Accountabilities

%of Time

Key Accountabilities

60%

• Creating data models, data pipelines
• Perform data cleansing and feature engineering
• Participate in early data modeling and testing for use case development
• Identify relevant data sets by researching, interacting with business stakeholders
• Collaborate extensively and frequently with data scientists and IT leadership
• Ensure that data science team has access to the required data sets

30%

• Liaise with IT on the infrastructure, data pipelines, and productionalization of models
• Document data, data structure, and data models

10%

• Research best practices, technologies, tools, and trends

Section 3:  Critical Skills/Knowledge

Indicate critical skills and knowledge required for the role (e.g. strategic leadership, influence) and any subject matter expertise (e.g. digital design).

• Expertise in advanced data management systems (e.g. spark, hadoop, oracle db, mysql, postgresql, SQL server, …)
• Deep expertise in data modeling and structuring
• Advanced SQL knowledge – and being aware of SQL's limits, and when to find other solutions
• Familiarity with ETL tools
• Experience in working  on large data sets
• Familiarity with cloud technology stacks (AWS, GCP, Azure)
• Fluency in at least one scripting language Python (preferred), R
• Familiarity with container platforms, e.g., Docker
• Experience distilling and presenting complex concepts to a business audience
• Developing and maintaining formal documentation describing data, data structures, and data models

Section 4:  QUALIFICATIONS

Indicate education, experience and any additional traits required to be successful in the role.

• Master's degree in computer science, statistics, quantitative engineering, physics or other quantitative discipline
• Ability to quickly learn new technologies
• Strong analytical approach to problem solving & intellectual curiosity
• Strong attention to detail and ability to think critically and conceptually
• Disposition to simplify: streamline work processes, simply communicate complex concepts
• Strong interpersonal, written and communication skills
• Team oriented with proven track record in collaborating with multiple stakeholders
• Strong ownership of deliverables
• Business Japanese and fluent English

Recruiting Process

Resume Screening > Web Video Interview (3times)

*Offer is subject to be released post successful completion of Reference Check(s) and submission of Highest Education Certificate & Salary Proof. *

Other Information (Terms & Conditions apply):

• Employment Type: Full-time Regular Employee (Probation period- 6 months, no change in working conditions during this period)
• Compensation:
• Incentive bonus (paid once a year depending on business & individual performance), Merit increase (depending on business & individual performance), Overtime allowance as per the company regulations, Commutation allowance.
• Working Conditions : Hybrid Working Model (Mix of Office-based working & Remote working)
• Flextime System (Staring time 5am~closing time 10pm), No core hours.
• The prescribed working hours for one (1) month shall be as follows: Scheduled working hours per month: Working days of the month x 8 hours
• Work from home policy
• Holidays: Saturdays, Sundays, National holidays and company-designated holidays, Annual paid leave (15 paid leaves in the first year of joining), Birthday leave, Condolence leave

Other benefits:

• Childcare leave system, Nursing care leave system
• Welfare: Employment insurance, Industrial accident compensation insurance, Employees' health insurance, Employees' pension plan, 401(k) plan, Yearly health checkup, Condolence money, Care Family Program, Team Member discount
• Engagement activities / facilities: Company-recognized club system (with partial subsidies for activities according to regulations), Employee cafeteria, Nap room, Relaxation room, and Free coffee service
• Education and training: New employee training, Manager training, Special departmental training programs, e-learning, Business English learning support programs
• Human resource development: Certification acquisition support, Internal Job application

Location

Kaihinmakuhari (Headquarters)

※JR Keio Line, 30 mins train ride from Tokyo station (Direct line), 3 mins walking from Kaihinmakuhari station.

Note:  Keep in mind the position could be filled from any market and we can modify the qualifications section later based on market specific description regulations once a candidate is identified.

If you enjoy being a part of a team, creating experiences and delighting customers, you'll love it here. If you're excited about retail, media, social, live streaming, technology, customer service, design and more, you'll find amazing projects to work on. If you want to grow professionally and learn every day, you'll thrive with us. If you appreciate a company committed to inclusion and belonging for all, you'll be amazed at what's available for our team members. We offer a comprehensive Total Rewards package including competitive compensation, paid time off, employee assistance program, parental leave, paid volunteer hours, company discounts and much more. Best of all, working with QVC Group means friendly teams, ambitious projects and fast-moving careers 

For QVC Group, our commitment to inclusion and belonging for all is deeply rooted in Our Principles. They call on us to Drive Progress, Act With Empathy, Be Brave, Embrace the Future, and Do What's Right so that everyone can thrive. We are committed to ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at for assistance.  QVC UK is a Disability Confident employer and operates a Guaranteed Interview Scheme. For any UK based roles - if you'd like to be considered under this scheme, please indicate this on the application form. ​

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