Data Engineer

Job description

About

Heuritech is a fashion technology company that offers brands predictive analytics on trends, sales and stock.

Using advanced artificial intelligence (AI) to translate real-world images shared on social media into meaningful insights, the Heuritech market intelligence platform empowers brands to forecast demand and trends more accurately, produce more sustainably, and achieve unprecedented competitive advantage.

Heuritech collaborates with leading brands worldwide, such as Louis Vuitton, Dior, Adidas, etc.

Heuritech is backed by French VCs Elaia and Serena, as well as private investors. With 4M€ fundraising in 2019, Heuritech’s next objectives are to open the Beauty industry and international development in New York and Singapore.

Joining Heuritech is a unique opportunity to participate in the growth and construction of a leading and international fashion-tech startup.

Job Description

The Core team is responsible of Heuritech's data processing pipeline, which retrieves millions of Instagram posts every day and process them with our Deep Learning prediction models. The annotated data are used by the Product team to provide Heuritech's clients with detailed statistics and insights on their products.

As a Data Engineer in the Core team, you will work to improve the design of our data processing pipeline to make it more scalable, robust and easily monitorable.

SPECIFIC MISSIONS

·  Dive into our data processing pipeline to propose optimizations and enhancements
·  Review our data architecture to help us create a roadmap for scalability
·  Develop back-office tools to improve the internal processes (e.g., dataset creation, training, ...)

TECHNICAL STACK

·  Python 3.6
·  MongoDB 4
·  Flask
·  MRQ (task queue system similar to Celery)
·  Gitlab CI
·  Docker / Docker Compose / Kubernetes

Preferred Experience

We are looking for a data engineer with the following profile:

·  2+ years experience in Python for backend development
·  Extensive knownledge on MongoDB internals
·  Worked on ETL / data processing projects with significant volume of data
·  Architect mindset, source of proposal, autonomous
·  Always monitoring what’s happening in the dev community
·  Comfortable working in an English-speaking environment

Nice to have:

·  Experience with other SQL and NoSQL databases
·  Experience with task queue systems (e.g., Celery) and message brokers

Recruitment Process

Phone call
Onsite interview & technical test
Final interview with our founders
Offer

Additional Information

·  Contract Type: Full-Time
·  Start Date: 01 December 2019
·  Location: Paris 17e Arrondissement, France (75017)
·  Experience: > 1 year
·  Punctual
·  Salary: between 40000€ and 55000€ / year