Gemeinsam machen wir den Unterschied Mobilität wird digital. Die Division Mobility ist der weltweit führende Anbieter von Mobilitätslösungen die den effizienten, sicheren und umweltfreundlichen Transport von Menschen und Gütern ermöglichen und so jeden Tag zur Verbesserung der Lebensqualität von Millionen von Menschen auf allen Kontinenten beiträgt. Wir entwickeln mit hoher Innovationsgeschwindigkeit intelligente Lösungen für die zunehmende Digitalisierung im Transportsektor. Unser Leistungsangebot umfasst Schienenfahrzeuge, Bahnautomatisierung, Straßenverkehrstechnik ebenso wie Bahnelektrifizierung. Unser datengetriebenes Serviceangebot bietet einen, nicht nur in unserer Branche, einzigartigen Mehrwert für unseren Kunden.

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.

As part of our strategy for future growth, we are creating a state of the art Data Science Team that builds models on the vast data of our market leading Open Banking platform. Compared to other technology companies of similar size, the set of problems that we tackle is incredibly diverse, cutting across optimization, prediction, modelling, inference and mapping. If you are excited about extracting information from data to tackle these problems within a fast-paced, innovative environment and are passionate about analytics with the innate ability to assimilate large amounts of complex information making it both simple and actionable, then this is the job for you.

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

As you know, SAP’s vision is to help the world run better and improve people’s lives. As THE cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries Run Simple. We empower people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 30 million members in 14 countries on three continents. In less than 6 years on the market, we have grown to more than 250 million Euros in annual sales, and the opportunity ahead of us is massive. The Westwing team is the secret to our success.

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

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.

Join our team and actively shape the technical future of the world’s largest online hotel search. Enjoy the freedom to question established processes, work with top-notch technologies and develop new tools to impress our 120 million users per month! We’re looking for an experienced developer to manage and further improve our core hotel data. We want someone to increase the amount and quality of metadata we have by analysing, investigating and interpreting data delivered by our partners and to match these to our hotel data.

Der SPD-Parteivorstand sucht für das Analyseteam zum nächstmöglichen Zeitpunkt einen /eine Data-Scientist (Referent/Referentin). Die Stelle ist befristet bis zum 31. Oktober 2018 in Vollzeit zu besetzen. Das Analyse-Team der SPD erstellt laufend Analysen des Datenbestands der SPD, um strategische Entscheidungen zu informieren und die Allokation von Ressourcen im Straßen- und im Onlinecampaigning zu optimieren. Der Data-Scientist*ist in jeden Schritt der Datenerfassung und des Analyseprozesses involviert. Sie erstellen Vorhersagemodelle für unterschiedliche Aktivitätsbereiche der Partei und arbeiten Daten so auf, dass andere Fachbereiche informierte Entscheidungen treffen können.

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

Job Title: Data Engineer Location: Europe ( Germany / Netherlands/ Budapest/ Poland)  Remote working available  About the company Founded in 2010, Lynx Analytics is a predictive analytics company run by world-class quantitative marketing scientists and industry experienced data scientists. Our focus is on solving big challenges primarily through the deployment of our proprietary big graph analytics platform, which is based on a powerful Hadoop and Apache Spark back-end. Our head office is in Singapore and we have operations in Hong Kong, USA, Hungary, Indonesia and presence in a few other southeast Asian countries.

DAS MACHEN SIE MÖGLICH: Sie analysieren Daten aus den verschiedenen Geschäftsfeldern des Konzerns. Sie entwickeln in einem dynamischen Team neue Use Cases in enger Zusammenarbeit mit verschiedenen Fachbereichen. Sie unterstützen die Kollegen bei der Entwicklung von Marketingstrategien und der Auswertung und Beurteilung von Kampagnen. Sie bringen Geschäftsprozesse mit Ihren Analysen voran. DAS BRINGEN SIE MIT: Sie verfügen über ein abgeschlossenes Studium idealerweise der Statistik, Mathematik, Wirtschaftsinformatik oder eines verwandten Studiengangs.

SAP’s vision is to help the world run better and improve people’s lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

As Senior Developer and Agile Architect at CARFAX Europe, you will be part of an agile, cross-functional team, working closely together with software developers, data engineers, data scientists and the teams’ Product Owner; all our teams are responsible for the full lifecycle and operation of their products. You will write software, develop products and services and help to plan, coordinate and implement an architectural vision within an agile team. Being a senior and having gained valuable experience in the past, you enable the team to establish best practices (code reviews, unit-testing, TDD, refactoring, etc.

We are looking for an experienced full-stack machine learning engineer to join our team. As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, TensorFlow, Docker, continuous deployment to Google Cloud Platform). At the core of your position is designing, implementing, training and evaluating state-of-the-art machine learning algorithms that accurately model financial markets. Your position also includes designing large-scale data pipelines, improving our stock market trading simulation, implementing innovative portfolio optimization concepts and everything else that pops up along the early days of a startup.

As a Data Architect at FINEWAY, you’ll be responsible for designing a scalable & maintainable infrastructure to shape the future of travel. This includes: Drafting, documenting & communicating designs, implementation plans & business models.Working with product owners as well as development teams to assess & define functional & technical requirements.Reviewing your peers’ designs & code to ensure quality.Developing in an event-based micro-services architecture.Learning new technologies independently & evangelizing them.Requirements Thorough understanding of service-oriented architectures & data processing in high-volume applications.

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).