Careers

Locations

Remote, Berlin, DE

Job Term

Full-Time

Company Website

OUTFITTERY is one of the biggest personal shopping services in Europe. We’re for those who want a little more substance from style, more guidance, and expertise - less rules and less routine. Because we believe that style is an unfolding story. We aim to inspire and empower - not dictate what to wear. We understand that style is a journey, and we’re here to guide along the way. Every customer gets a personal selection of clothes, created by our stylists out of more than 100 brands - always considering wishes and budget. Customers only pay for what they keep, without any service fee. Our mission is to empower anyone to unlock their true style.

 

As a (Senior) Data Engineer (all genders) you will be part of our data engineering team who have built out various data infrastructure tools and experimentation platforms which support our core product and business functions. You will be responsible for leading technical decisions and tasks related to data products and data systems. Ideally, you can identify architectural or business opportunities and implement solutions to solve problems at hand. To be successful you have an interest or experience in any of the following: distributed systems, AWS, data processing, software engineering and system design or data modelling concepts or data products.

 

What you do

  

  • Defining and building new systems architecture in AWS.

  • Building real time event systems which are used to power the entire company

  • Defining development and testing standards Automating Data Infrastructure related tasks.

  • Help build high throughput micro-services which consume data from all over the company.

  • Build and operate data systems which are used by different engineering teams across the company.

 

What you know & who you are

 

  • Proven experience in one of our core programming languages. Ideally, Python/Scala/Kotlin or a willingness to learn.

  • Experience in cloud environments (AWS)

  • Experience in applying software development practices such as CI/CD, automated testing, code reviews and monitoring.

  • Experience working in a cross-functional environment with constant exchange between product, data science and engineering.

  • Excitement to work with cutting-edge technology, taking chances, experimenting and discovering new and more efficient ways to get things done.

  • At least 3-4 years of hands-on experience in implementing and optimizing large scale data/distributed jobs.

  • Fluent English skills.

  • Bonus: Experience in DevOps as well as experience working on data products, machine learning, search, recommender systems or computer vision systems.

We offer

  • Training opportunities - The development of our employees is very important for us. Therefore we offer external and internal training and coaching, as well as free German courses.

  • Flexible working hours - By offering home office and flexible working hours, we give our employees the opportunity to make their everyday life efficient.

  • Employee discounts - Our employees can benefit from a 40% discount on OUTFITTERY products as well as various discounts via our partner portal Corporate Benefits.

  • Office - A newly refurbished, bright, open office space in Berlin - Kreuzberg - we have air-conditioning, too. As a company we decided to enable WFH until August 2021 so you have the comfort of your home during this pandemic. If you wish to pay a visit to the office, you are welcome! You can book shared desk space upfront via our office management.

  • Health - We like sports - do you? To promote health and well-being of our colleagues we offer in-house (offline) sport activities such as Yoga, KungFu and Kicker Tournaments. Besides, we offer corporate health days on a yearly basis together with our partner TK. On top, we are proud to have a dedicated Mental Health coach in our team who supports on professional and personal matters.

Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Matthias Hutsch.

Apply now