Big Data Engineer
Location: GB, , 
Department: Engineering
Employment type: Full-time
Required education: Bachelor's Degree
Industry: Internet
Function: Engineering
Salary range: 45000-55000
Company profile: Founded in 2010 by a team from Google’s London and New York offices, Qubit work with some of the biggest names in Online. Our engineers have built a brand new platform that combines a number of technologies – analytics, automation, personalisation and more – into a simple, easy-to-use product.We’re not the only ones excited about our brand new approach to solving the problems of modern e-Commerce. Wired magazine named Qubit as one of the top 5 hottest startups in London. We’ve raised $7.5 million in Series A funding from one of the UK’s biggest venture capitalists! Come and join the growing team as we embark on the most exciting chapter in Qubit’s history.Although we’ve now grown to more than 90 people, we’re keen on keeping our culture as relaxed and open as when there were only 5 of us. Our offices have table football, kitchen full of fruit and other snacks, never ending coffee supply, dinner service and lots of other startup perks. More importantly we’re a focused and determined team preparing to double in size during 2014!
Description: Qubit: Cutting Edge Big Data EngineeringQubit's Big Data platform collects, stores and processes over 1 billion external api calls per day, supporting business critical solutions for some of the world’s largest e-commerce companies.Our core systems include high performance, low latency HTTP services and frameworks, ETL systems with dynamic schema management, machine learning and categorization / AI, Hadoop / MapReduce based workflows, RBDMS (Postgres and MySQL) and Business Intelligence solutions.We’ve developed and deployed a hybrid cloud (AWS and Google Cloud); a dedicated platform tuned for high bandwidth data flows. We primarily work in Java, Scala, Clojure, Python, R and C on Linux based systems, but we're pretty agnostic.What You'll Be DoingPlatform engineers at Qubit work to solve hard technical problems: designing, building and enhancing our core large scale distributed data infrastructure systemWe work in small, agile teams with comprehensive domain expertise and a culture that champions innovation and continuous improvementWherever possible, we have a policy of contributing back to the open source software that we use extensively at Qubit
Requirements: What You'll NeedBy submitting your application you understand that Qubit will store your data in accordance with local lawsA degree in Computer Science, Software Engineering or related degree (or additional relevant experience)Exceptional experience writing large, complex systems in distributed teamsA deep interest in state-of-the-art scale out data infrastructure, in-depth Hadoop expertise is a plusComprehensive knowledge of data structures and algorithmsComfortable writing performant code in a typed language like C++, Java, C# or similarPreferred (but not required) experience:Core JavaWorked on major open source data systems and libraries used at Qubit: Hadoop, Mapreduce, Hive, HDFS, Netty, Lucene, Postgres, AntlrA Language polyglot: Scala, Haskell, Clojure, Python, Javascript, Ruby etcRDBMS (Postgres / MySQL) based large data warehouses
Benefits: Plenty of perksAs well as the opportunity to solve complex problems in this exciting new era of big data, here’s what we offer:Realistic performance related bonusesGenerous equity options mean you’ll own a piece of the pieExcellent health and dental insurance packagesA relaxed approach to time off and enough holidays to see several corners of the worldFridge fully stocked with healthy snacks and the ultimate espresso machine for your java fixA competitive office where we play foosball, football, scrabble, go-karting… you name it, we’ll play itThank Qubit it’s Friday – we have lots of creative ways to let off steam at the end of the weekPlenty of opportunities for training and development
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