Data Engineer
- Employer
- Vestiaire Collective
- Location
- Singapore
- Closing date
- 23 Jun 2022
View more
- Function
- Technology
- Level
- Manager
Job Details
Our values have built our success and made us who we are as a fast-growing company because we think collective: we work with style, with entrepreneurial spirit and with passion. We currently have a diverse global team of 650 employees representing more than 50 nationalities. Our values are community, activism, transparency, dedication and greatness. We are proud to be a BCorp.
We are hiring a Data Engineer and you'll create and innovate the Vestiaire Collective Data Platform in collaboration with our Technical Leads, BI Engineers and Architects
About the role
This is a full-time role based out of our Singapore office reporting to the CTO.
What you'll do
- Co-creating and continuously developing the technical architecture of the Vestiaire Collective Data Platform
- Implementing data ingestion strategies for diverse data sources, such as internal databases, third-party sources, user data trackers
- Managing the Data Platform setup on infrastructure side, including managing the Data cloud account, setting up and managing instances, managing computing and storage capacity within budget constraints
- Guiding Data Warehouse developers with their ETL implementations, pointing to optimal technical solutions to data transformation objectives
- Working closely with Data Scientists to ensure smooth and quick implementation of algorithms in production
- Implementing tools for task scheduling, data quality controls, stability monitoring and alerting
- Continuous learning and staying up-to-date with the latest developments in the data technology space in order to keep the team ahead of the curve
Who you are
- 2+ years of working experience, including work with relational databases, Hadoop, NOSQL and/or cloud infrastructure (e.g. AWS)
- Educational background in Computer Science / Electrical Engineering or other engineering fields
- Solid understanding of database concepts and experience with data processing tools (SQL, Hive, Pig, Spark, etc.)
- Hands-on experience with at least one of the following programming languages: Java, Python, Scala - and curiosity to learn others
- Creative approach toward problem solving, passion for exploring new technologies
- Experience with real-time / stream computing technologies is a plus (e.g. Flink, Storm, Spark Streaming)
- You do not need to be micromanaged; to accomplish team and company goals, you can wear multiple hats and pickup new technologies and languages.
What we offer
- A meaningful job with an impact on the way people consume fashion and promote sustainability
- Flexible work arrangements
- The opportunity to create impact in a high growth environment
- The possibility to work as part of a global diverse team with more than 50 nationalities
- 2 days to help Project - reinforcing your activist journey and volunteer for an association
- Investment in your learning and growth
- Competitive compensation and benefits package
Company
Vestiaire Collective is the leading global app for desirable pre-loved fashion.
It is dedicated to transforming the fashion industry for a more sustainable future by promoting the circular fashion movement as an alternative to overconsumption and the wasteful practices of the fast fashion industry. It provides its fashion activist community with inspiration, tools and features to lead the change as they sell and buy unique pre-loved pieces from each other's wardrobes. The platform is unique thanks to its highly engaged activist community and its rare, desirable inventory of over 2 million items that includes 120,000 new listings every week.
Launched in Paris in 2009, Vestiaire Collective has offices in Paris, New York and Hong Kong and a tech hub in Berlin. Find out more by downloading the app, visiting vestiairecollective.com and following @vestiaireco on Instagram.
- Website
- https://fr.vestiairecollective.com/
- Telephone
- 000000
- Location
-
255 boulevard Pereire
Paris
IDF
75017
FR
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert