OUTFITTERY GmbH owns and operates an online men's apparel retail portal under the name Outfittery. It provides a service whereby users answer few questions in an online questionnaire and are then contacted by their personal stylists to discuss the details of their outfit box selected for and delivered to the users. The company was founded in 2012 and is based in Berlin, Germany.

OUTFITTERY GmbH Berlin, Germany
Full time
At   OUTFITTERY , we believe that style is an unfolding story. We’re for those who want a little more substance from style, more guidance and expertise - less rules and less routine. We aim to inspire and empower - not dictate what to wear. We have the technology to make ideas reality, and the stylists to give our customers the confidence to explore. We understand that style is a journey, and we’re here to guide the way. Our mission is to empower anyone to unlock their true style.  In six years, we have already dressed more than 600.000 men in eight countries across Europe. Our team of around 300 employees in three locations is passionate about reinventing the shopping experience for men. Are you up for taking on responsibility, being part of our great team and enabling many more men to simply look their best? Then join us!  We are currently recruiting for a Senior Big Data Architect (m/f/x)  Your tasks: Design, build, deploy and maintain distributed data pipelines and infrastructure for batch and near real time processing, with focus on scalability and data quality Work with data scientists, data analysts, backend engineers and product managers to leverage the data we produce and process to the fullest extent Optimise and migrate existing data flows into the big data platform, add various new data sources Solve challenging problems in areas such as distributed systems, integration of machine learning algorithms and data processing Your profile: At least 4 years experience of building and optimizing scalable data systems as a Data Engineer, with possible background as a Software Engineer Hands-on experience with big data technologies such as Kafka, Spark, Hadoop, Hive and Impala, planning the capacity and estimating hardware requirements Sound programming skills in Scala or Java Good knowledge of Linux and shell scripting Solid experience writing and tuning SQL queries and working with relational databases like PostgreSQL Familiarity with workflow frameworks like Airflow and Apache NiFi Nice to have: experience with AWS, Kubernetes and overall DevOps attitude (you build it, you run it) You are a great team player and you communicate fluently in English We offer: An international and smart team which is eager to revolutionize shopping for men A transparent company culture with highly motivated colleagues, which work on our ambitious goals An exciting and responsible role, with great impact An honest and open feedback culture and individual development opportunities Company Hackathons, team training budget for conferences, trainings, books etc. Employee discounts, language courses Pension scheme, health insurance Summer and Christmas parties, team events