Software Engineer - Data

Location
Porto, PT
Posted
24 Nov 2020
Closes
17 Feb 2021
Ref
32e413df-8c22-4615-8528-15f12e27d307
Function
Technology
Level
Manager
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.

We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

TECHNOLOGY

We're on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it. We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.

PORTO

Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment. From Account Management to Technology and Product, whatever your skills are, you'll find your fit here. You can have an informal meeting in the treehouse or play the piano in your lunch break!

THE ROLE

You will get a chance to work in an innovative Big Data environment building large scale and sophisticated software with a significant focus on messaging patterns. The data from these pipelines is crucial for business analytics and data science. You will enroll in the Messaging team and work closely together with the API teams and the Big Data teams.

WHAT YOU'LL DO

  • Develop software to stream and process operational events from Farfetch's micro-services and store them in Farfetch's Data Lake
  • Work on software engineering challenges that arise from Farfetch's scale and data growth.
  • Work with state-of-the-art data frameworks and technologies like Spark (Streaming), Kafka, HBase,Hadoop, HDFS, Dataflow, Cloud Dataproc, ADLS and others.
  • Research and develop new software and technologies related to fast and big data processing.


WHO YOU ARE

  • A professional with a Computer engineering background.
  • A professional with strong aptitude for learning new data technologies and willing to work in the with messaging patterns.
  • Someone with at least 2 years of experience in software development in data related fields. Java, Scala or Python experience is a plus.
  • Experience with distributed computing.
  • Experienced with data processing frameworks like Apache Storm, Apache Spark, Apache Camel, Apache Flink, DataFlow or kafka-connect (a major plus).
  • Knowledgeable of relational and non-relational databases or other storage types (S3, Blob, ADLS, GCS, ...)
  • Knowledgeable of messaging brokers like RabbitMQ, Apache Kafka, ZeroMQ or
  • A professional with a DevOps mindset - ready to deliver and maintain production grade solutions.


REWARDS & BENEFITS

  • Health insurance for the whole family, flexible working environment and well-being support and tools
  • Extra days off, sabbatical program and days for you to give back for the community
  • Training opportunities and free access to Udemy
  • Flexible benefits program
  • FARFETCH Equity plan


EQUAL OPPORTUNITIES STATEMENT

  • FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.

Evolve our e-commerce platform by defining its future, building a flexible and high-performance top-notch tech platform for machine learning-based services

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