21 Jan 2019

Full-Time Senior Python Engineer

Farfetch.comAnywhere

ff logo.jpg

Job Description

 

About the department:

 

We’re the beating heart of Farfetch, supporting the running of the business and exploring new and exciting technologies across web, mobile and instore to help us transform the industry. Split across three main offices – London , Porto and Lisbon – we are the fastest growing team in the business. We’re committed to turning the company into the leading multi-channel platform and are constantly looking for brilliant people who can help us shape tomorrow’s customer experience.

 

About the role:

 

Farfetch relies heavily on insights gained from data to guide feature development and on metrics to detect new areas of improvement. This position will contribute to the engineering of the next-generation data science products and interfaces that connect our Machine Learning technology to the vast ecosystem of internal applications. The ideal candidate will be comfortable in a startup environment and will bring an energetic, fun and creative approach to their work.


A flavor of what we use in the data science team: Docker, Flask, Pytest, Scikit-learn, TensorFlow, pyTorch, NumPy, pyStan, SqlAlchemy, Celery, RabbitMQ, Postgres, MSSQL, Hadoop, Hive, Spark, BigQuery, ElasticSearch, Terraform, Ansible, Google Compute Engine

 

What you’ll do:

 

You will collaboratively design, build, and maintain Python microservices in our multi-cloud data platform

 

You will collaborate with Data Scientists, Big Data, Software Engineers, Tech Ops, and Release Engineers to deliver efficient data products

 

You will provide creative ideas to improve our product and technology

 

You will assist Data Scientists in maintaining the health of production systems

 

You will design and develop scalable and performance oriented services with strong emphasis in algorithmic design and scalability

 

You will work with the Big Data team to develop and maintain large-scale Data Science services


Who you are:

You are a Bachelor’s degree- and/or Master’s degree-holder in Computer Science with strong algorithms, data structures and coding background

 

You are proficient in Python and experienced in the creation of services using frameworks like Flask/Django

 

You are experienced in the scientific stack (numpy, scipy, sklearn, pandas)

 

You are disciplined in approach to testing and QA (TDD/BDD, code review, documentation)

 

You are experienced in distributed systems, service oriented architectures, design and implementation of high throughput, low latency applications

 

You are experienced in containerization tools like Docker and configuration management tools like Ansible

 

You are experienced building and scaling batch/asynchronous systems. Airflow/Luigi/Celery/RabbitMQ

 

You have solid knowledge of the whole stack: front-end, back-end, databases, cache layer, HTTP protocol, TCP/IP, Linux, CPU architecture, etc.

 

You have a solid understanding of the pros and cons of SQL/NoSQL

 

You have experience in designing large scale systems that take advantage of Big Data technologies like Spark, Hadoop, Hive, BigQuery, etc. (a plus)


We can’t wait to receive your application. But before you send it to us, here are some helpful tips to make sure your application is as strong as it can be.


Have you set out why this role is a good match for your career aspirations and that you have the skills and experience required? We want you to be as clear about your future ambitions as we are and whilst we encourage people to learn, develop and grow, you will need to hit the ground running.

 

Have you checked spelling and grammar? We have high standards and you don’t want to miss out because of something as easily correctable as a typo


We are committed to equality of opportunity for all employees. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

 

How to Apply

Please apply by following this link: https://www.linkedin.com/jobs/view/1030151064/

Job Categories: Engineering. Job Types: Full-Time. Job Tags: backend, computer science, numpy, pandas, python, scipy, sklearn, and sql. Salary: 100,000 and above. Job expires in 10 days.

Apply for this Job

Loading...
Get Your Weekly Dose of Python