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.

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. As a Senior Data Engineer at Zalando Payments, you’ll help us to shape the data infrastructure that supports our risk assessment models, responsible for processing Billions of euros every year.

XING works towards “a better working life”. One key element of this mission is XING’s job marketplace (xing.com/jobs) that helps our users in exploring their next career steps. We are a team of Business Analysts, Designers, Software Engineers and Data Scientists - try to turn this marketplace into a data-driven product that supports our more than 12 Million DACH users in finding relevant jobs (e.g. via search or recommendations). Therefore, we work with the latest technologies in a highly international environment and bring state-of-the-art research into production.

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 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 

The Starmind Zurich team is looking for a skilled data scientist, who will join us in creating and innovating world-leading machine learning technologies. Here is a selection of tasks that you would handle over the course of a typical week as a part of the Starmind Team: Create prototypes and investigate their performance, thereby growing initial ideas into production-ready features.Work closely together with the Scrum team to implement new innovations in a robust and scalable way.

About As a Data Engineer at RISK IDENT, you will be a member of our FRIDA ML team. This team is developing one of our products based on a scalable platform for real-time data processing, analysis and prediction, turning insights and models into the production code that forms the backbone of our fraud prevention solutions. The Data Engineer role at RISK IDENT combines Data Science and engineering skills, with a very strong focus on the latter.

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

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 Premium Services team consists of around 40 people all working to support our Premium customers and their daily (working) lives. The product teams work together with the Business Development department to develop and realize new ideas for our Premium membership.

Zalon is the successful story of curating and delivering complete outfits for our customers. Part of Europe’s Leading Technology Fashion Platform, we live and breathe excellent software engineering. As part of our recruitment ramp-up for a designated Data Science & Research Engineering team, you, as a Python Backend Engineer will bring the engineering perspective into our products. Expect a role where you will have immediate impact as we iterate fast and experiment a lot, welcoming your innovative engineering ideas to the table.

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

Das gibt es bei uns zu tun: Entwicklung von end- to end Big Data Lösungen entlang der Wertschöpfungskette der REWE Group unter Einsatz einschlägiger Technologien (Hadoop, Spark, etc.)Analyse und Verarbeitung großer Mengen strukturierter und unstrukturierter DatenEntwurf und Implementierung von Datenmodellen, Datenflüssen sowie APIs zur Ermöglichung einer performanten Nutzung großer DatenmengenKontinuierliche Sicherstellung und Verbesserung der DatenqualitätOperationalisierung von Data Science Modellen für den produktiven EinsatzPartizipation bei der Technologie AuswahlEigenverantwortliches Arbeiten in selbstorganisierten, agilen cross- funktionalen Teams mit viel Gestaltungsspielraum und enger Zusammenarbeit mit FachabteilungenIntensiver Wissensaustausch und vielfältige Weiterbildungsmöglichkeiten der persönlichen, methodischen und technischen ExzellenzDas solltest Du können:

Delivery Hero is building the next generation global online food-ordering platform. Our awesome international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with a huge and rapid amount of growth in countries, market size and opportunities.