You Are Ready To Make An Impact As Zalando transforms from a pure online retailer to a fashion platform, we bring fashion competency and branding expertise to the game by connecting all the players in the industry: consumers, stylists, designers, brands, influencers, and, online and offline stores. By providing a bold mix of global brands, local designers and specialist labels, we create fresh concepts, high-impact campaigns, smart applications and innovative partnerships.

XING is the social network for business professionals with millions of members all over the world. Help us shape the future – for a better working life! We currently have an opening at our offices in Hamburg and Barcelona.   Our Data Science team is responsible for turning data into services and products for XING. Around 20 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users.

Sellics is a profitable, global and fast-growing SAAS start-up from Berlin. We are revolutionizing commerce on the world’s biggest marketplace, Amazon. Our software is used by small sellers and large brands to manage and optimize their sales activities on Amazon. We are the first company to offer an Amazon SEO solution and we continue to shape this fast growing industry with cutting edge software innovations. Tasks and Requirements You bring in your ideas and expertise to globally scale our data-centersYou work on extending and boosting our databasesYou Re-Design and transform our databases for maximum performanceYou manage billions of entries with a high turnoverYou have 1.

Über unseren Bereich Data Management & Analytics Im Geschäftsbereich Data Management & Analytics  helfen wir unseren Kunden, aus Daten wirtschaftlichen Nutzen zu generieren. Wir integrieren heterogene Datenquellen in klassische Data- Warehouse- Strukturen und multidimensionalen Analysemodellen, entwerfen und implementieren Big- Data- Plattformen und Realtime-Szenarien und verwenden innovative Suchtechnologien. Mit wissenschaftlichen Methoden finden wir Zusammenhänge in großen Datenmengen und gewinnen neue Erkenntnisse. Was Sie bei uns erwartet Ein familiäres, kollegiales und respektvolles Arbeitsklima mit offener Gesprächskultur und flachen HierarchienSpannende Projekte bei tollen KundenArbeiten mit den neuesten TechnologienAgilität in allen Projekten und internen AbteilungenHohe Freiheitsgrade und EigenverantwortungFlexible Arbeitszeiteinteilung, auch Teilzeitmodelle sind möglichDie Möglichkeit, im Home Office zu arbeitenFreie Wahl des Notebook-Betriebssystems (Linux, Mac, Windows) und des Smartphones (iOS, Android)Private Nutzung von Notebook und SmartphoneEin definiertes jährliches WeiterbildungsbudgetOptionales Fahrzeug- oder JobRad-LeasingJede Menge Perspektiven für die Zukunft

We are a fresh start-up with the mission to empower companies with our machine learning, analytics and engineering skills! Therefore we are looking for versatile minds who love working with data, the more the merrierare nuts for new techwilling to go new wayschallenge themselves with intriguing problemsbut still think in solutionsand as life is short, HAVE FUN AT WORK!Our goal is to setup of a diverse team of freaks from different fields inspiring each other to cognify this world!

We are looking for a Data Engineer (f/m). YOU will … implement, optimise and maintain ETL processes.manage our Big Data infrastructure, including the petabyte-scale Hadoop cluster.collaborate with Data Scientists on building scalable and reliable data pipelines.develop new and improve existing business intelligence tools and dashboards.build data expertise and take responsibility for data quality in our data warehouse.YOU have … proficiency with one or more programming languages we use every day (Java, Scala, Python).

The opportunity Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics, to big brands, to manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. As a Data Platform Architect at Zalando, you will be responsible for building, scaling and architecting one of the largest big data platforms in ecommerce. You will develop big data solutions, services, and messaging frameworks to help us continuously process our data faster and more efficiently.

WORKING STUDENT OR THESIS FOR DEEP LEARNING  MUNICH, GERMANY - ON-SITE HOW YOUR NEW TEAM WILL CHANGE THE WORLD  At the team “Leap”, a tech innovation unit at Gini, we research the latest trends in Deep Learning and develop revolutionary AI solutions. You will join the innovators-force to support them with your ideas and high-quality code. YOUR PLAYING FIELD AT GINI  Your mission is to research ways of combining Computer Vision and NLP approaches for information extraction from document imagesYou will implement Deep Learning solutions for information extraction from document imagesYou will actively contribute to our Semantics and Computer Vision departments with your knowledge of latest discoveries in the field of Deep LearningYou will preferably write a Master Thesis based on the results of your researchYou will be putting your excellent research skills to the best use whilst working on experimentsYOUR PROFILE 

Sie haben Talent. Wir sind ein internationales Netzwerk aus 223.000 Mitarbeiterinnen und Mitarbeitern, die ihr Wissen, ihre Erfahrungen und ihre Ideen miteinander teilen. Sie suchen einen herausfordernden, spannenden Job. Wir bieten Ihnen als weltweit führende Wirtschaftsprüfungs- und Beratungsgesellschaft ein Maximum an Möglichkeiten für einen Karriereweg nach Ihren Vorstellungen. Sie möchten Verantwortung für Ihre Ergebnisse übernehmen, Lösungen gemeinsam mit dem Kunden entwickeln und einen Arbeitgeber mit passenden Werten. Unser Denken und Handeln orientiert sich an Grundsätzen, die von Vertrauen, Respekt, Weitsicht und Wertschätzung geprägt sind.

Take part in the digitalization of well-known brands. Webtrekk is a customer intelligence platform that allows our customers to connect, analyze and activate their user and marketing data across all devices. Founded in 2004, Webtrekk is driving innovation in high-end Digital Analytics and today has more than 150 employees in 5 locations around the world to set new benchmarks in Digital Marketing. We help our customers to be more successful with data science driven products - less good decisions, more data driven decisions.

You Are Ready To Make An Impact Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. As a BI Engineer at Zalando Media Solutions within the Reporting and Data Infrastructure team, you will be responsible for creating and improving engaging reporting solutions, together with our Product Managers. We live Radical Agility, a software development methodology that allows you to get work done while management keeps their distance. Along with our guiding set of principles – Autonomy, Mastery, Purpose – we entrust you to be the one changing the world’s opinion of tech and fashion in Europe.

You Are Ready To Make an Impact At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering. You Are Setting Standards

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a YARN/Hadoop cluster of more than 60 machines. In the next phase of development, we are planning to re-design more parts of our Big Data system to make them work in real-time. This will involve the usage of some cutting-edge technologies and also the challenge to extend the on-premise cluster to the cloud.

XING is the social network for business professionals with millions of members all over the world. Help us shape the future - for a better working life! We currently have an opening at our headquarters in Hamburg. The XING Growth team helps prospects find our platform when they need it, onboard users easily and provide quick access to useful functions and features. This cross-functional team consists of around 30 people working in Development, Project Management, Product, User Experience and Quality Assurance.

We want to grow our successful German business and therefore we are looking for Data Engineers (m/f) to join our team based in Munich, Germany. Your tasks You are in charge to build a data platform that manages our companies’ data flows The platform consists of several services (messaging, streaming, persistence, machine learning etc.) that can be used by our product development teams in a self-service way As a member of one of our product development teams, you build data-intensive applications on top of our data platform, ranging from data ingestion to processing and making use of the data to provide smart services to our customers and internal business users

THE OPPORTUNITY As a software engineer in the area of “Recommendation & Personalization” you are working on Zalando state-of-the-art recommendation systems serving millions of customers with highly relevant and personalized content. You will be working with the newest technologies to build a SAAS component which can be fully leveraged within our Zalando platform. Your main challenges will include working with large amounts of data, deliver high-quality recommendation results and at the same time provide a low-latency, rock solid and auto-scaling production system.

We are offering you an interesting and challenging role as a Big Data Engineer (f/m) contributing directly to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated algorithms for environment perception, situation analysis and driving strategy selection. As a (Senior) Big Data Engineer (f/m) you will contribute your ideas and knowledge in designing and implementing solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models as well as for functional validation.

Responsibilities include but are not limited to designing, developing and supporting big data systems and machine learning models; creating statistical models, analyzing and processing various kinds of data. Applicants are also expected to participate in after-hours work. All candidates will have a Bachelor’s or higher degree in technical field of studya minimum of two years experience designing, developing and supporting big data systems, machine learning models and end-to-end data pipelinesexcellent knowledge with at least one modern programming language, such as Go, Java, C++, Python and Scalaexperience with big data technologies, such as Kafka, Spark, Storm, Flink and Cassandraexcellent troubleshooting and creative problem-solving abilitiesexcellent written and oral communication and interpersonal skillsIdeally, candidates will also have

About the role The product: A sophisticated query engine We are building a sophisticated OLAP/SQL query engine for advanced analytics, accessing data from many different data sources (RDBMS’s, Hive, Impala, Druid, Elasticsearch and others). The query engine is written in Scala and builds on Apache Calcite. We are planning to open-source it during the course of this year with the goal of making it an Apache project eventually. The stack

Wir suchen derzeit einen Java Entwickler (m/w), der sich für die Themenschwerpunkte Integration, ETL, ESB und Big Data begeistert. Bei uns werden Sie ein Experte im Umgang mit der Plattform Talend und begegnen hierbei unterschiedlichsten Systemen, großen Datenmengen und komplexen Infrastrukturen. So ist hohe Abwechslung im Alltag garantiert und die Arbeit wird nie langweilig. In Zeiten, in denen der richtige Umgang mit Daten immer wichtiger wird, arbeiten Sie an hochmodernen Themen und gestalten Sie die Zukunft gemeinsam mit uns!