Hi, we are Nataliia, Ayoub, Hasan, Sabbir and Philipp, the BI team at moovel, consisting of an Agile Coach, Data Analyst, Data Architect and a BI Specialist. We are building business value for our finance, marketing and product teams, as well as for the C-level of moovel. In the past months we’ve set up a data warehouse on Snowflake and visualized data on Tableau. Furthermore, we will be responsible for the Data Lake and we will perform day-to-day production RedShift data warehouse tuning, troubleshooting, data migration and backup & recovery.

Für unseren Geschäftsbereich IT in Hamburg suchen wir Sie als Softwareentwickler (m/w) DWH/BI Spannende und vielschichtige Herausforderungen erwarten Sie bei uns. Die zentrale Aufgabe im Team BI & Big Data ist die Entwicklung des unternehmensweiten DWH und der darauf aufbauenden BI-Anwendungen. Von der Datenmodellierung über die ETL-Implementierung bis zur BI-Anwendung liegt die technische Umsetzung in unserer Hand. Darüber hinaus realisieren wir Big-Data-Lösungen für große unstrukturierte Datenmengen. Hierzu setzen wir verschiedene innovative Technologien ein.

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a Spark/YARN cluster of more than 60 machines. We are currently revamping and rearchitecting our Big Data systems. This will involve the integration of some cutting-edge technologies into our tech stack and the challenge of extending the on-premise cluster to the cloud.  We are therefore seeking a proactive, proven and creative (Senior) Data Engineer who can design and implement new features for our DMP.

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a Spark/YARN cluster of more than 60 machines. We are currently revamping and rearchitecting our Big Data systems. This will involve the integration of some cutting-edge technologies into our tech stack and the challenge of extending the on-premise cluster to the cloud.  We are therefore seeking a proactive, proven and creative (Senior) Data Engineer who can design and implement new features for our DMP.

An exciting opportunity has become available within the BMW Group for a Big Data Analyst (f/m) in the field of corporate quality management. The goal is to solve business-related questions of quality management (use cases) as a project leader using innovative analytics tools based on data: Evaluation of customer feedback, customer behavior, product / service usage, product defects, causal relationships / identifying patterns and deriving predictions. Work as an “ambassador” for big data analytics in business quality and beyond.

We see great opportunities in high-volume real-time location data generated by the fleet as a source for many new cloud-based services. Our team takes pride in prototyping solutions for cloud-based vehicle services that are based on location data generated by our own data mining and machine learning algorithms that transform massive amounts of vehicle sensor data into descriptive knowledge about the vehicle, driver assistance systems and the road infrastructure. Our services power advanced technology projects such as automated driving prototypes and serve as blueprint for future BMW and MINI innovations.

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 manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

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 manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices, and to ensure that we have the right level of logistics capacity to fulfil customer demand.

Das bringt der Job: Wir wollen die Nutzbarkeit und den Impact unserer Datenplattform für real-time- und batch-Verarbeitung im Konzern maßgeblich steigern – mit deiner Expertise!.Gemeinsam mit Deinen Kollegen übernimmst Du die Verantwortung für Konzeption und Umsetzung unserer neuen, hoch performanten und robusten Datenplattform in der Cloud für big, fast & smart Data.Du verantwortest die Verarbeitung und Aufbereitung der Daten entlang ihres gesamten Lebenszyklus in unseren Data Pipelines der Datenstromverarbeitung.Du arbeitest mit unterschiedlichsten Datasets und stellst eine hohe Konsistenz sowie Verfügbarkeit sicher und schaffst neue Einblicke zu unseren Kunden.

Data Engineer Hadoop (m/w) VOLLZEIT Berlin, Deutschland Mit Berufserfahrung 06.07.18 Wer wir sind: Niemand muss mehr falsche Entscheidungen treffen! Dies ist unsere Vision, aus der sich unsere Mission ableitet: “Alle Informationen zu nutzen, um die richtigen Empfehlungen zu geben”. Als einer der Pioniere der Künstlichen Intelligenz in Deutschland glauben wir fest daran, dass Methoden der KI durch bessere Analysen der verfügbaren Informationen verhindern können, dass Menschen vermeidbare Fehler begehen. Empolis-Systeme unterstützen die Nutzer dabei, immer im jeweiligen Kontext, die richtige Information zur richtigen Zeit der richtigen Person auf dem richtigen Endgerät zur Verfügung stellen zu können, gemäß unserem Motto: DECIDE.

Stuttgart-Möhringen | Anstellung bei der Hays Professional Solutions GmbH Einsatz bei der Daimler AG Referenznummer: 368109⁄1 Startdatum: 05/18 Jetzt bewerben Meine Aufgaben Projektleitung für die Anbindung von Systemen an das Procurement BI Data WarehouseAnalyse von Business-Anforderungen und Ableitung von Anforderungen an die PartnersystemeDesign der Schnittstellen in Abstimmung mit dem Solution ArchitektPlanung, Koordination und Tests von SchnittstellenSteuerung externer Dienstleister gemäß den VorgabenMeine Qualifikationen Erfolgreich abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare QualifikationSehr gute Kenntnisse in den Produkten SAP BW on HANA und HANA sowie den Datentransfertechnologien SDI/ SDA, ODBC, RFC, CFTKenntnisse im Bereich der Big Data-Technologien (Hadoop, Spark) sowie SAP SRM und SAP S/4 sind wünschenswertGrundlegende Kenntnisse in den ProjektmanagementmethodeSehr gute Deutsch- und EnglischkenntnisseMeine Vorteile

YOU SELL. WE DELIVER. We are Seven Senders. Our product revolutionizes cross-border e-commerce in Europe. We enable online shops to ship to customers abroad 30% cheaper and twice as fast. In order to accomplish this task, we are managing the physical flow of goods and organize all required logistics processes. Technology is the key enabler of our business model, ranging from transport management systems, analytics for shipment processes to track and trace solutions for customer parcels.

As a Machine Learning Engineer (m/f) at plista you will work on the optimization of our self-developed recommender technology that is used by publishers around the world to recommend news articles and ads to their users. This includes the analysis of large-scale datasets, creation of recommendation algorithms and it’s implementation. You will work with a modern stack of technologies such as Apache Spark and AWS to structure the big data volume.

We are looking for a motivated and enthusiastic Data Engineer (m/f) for our Team “Data Product”. You will be responsible for developing the plista real-time recommendation platform that serves millions of native content recommendations every day across the globe. You will work in a crossfunctional squad doing bi-weekly Scrum sprints; there will be lots of opportunities to interact, learn and develop yourself and your skills.   YOUR RESPONSIBILITIES Develop new components from concept to deployment in an high-load cloud environmentObject oriented programming in a complex architecture: Controller implementation, modularization, refactoring, decouplingImplement microservices for interconnecting our software componentsTest-driven developmentInterface with real-time advertising platforms on demand and supply sideYOUR PROFILE

We are looking for a new position as Data Engineer (m/f) for our client KONUX in Munich: At KONUX, we are builders, problem solvers and team players. We combine German engineering with Silicon Valley speed and innovation to create the best possible predictive analytics solutions for our customers. Our mission is to help industrial companies improve their decisions on maintenance and performance in a data-driven world. Working with us means opening up new paths with both tech-savvy engineers and creative business pros, and  being part of a fast-paced, high-performance environment.

Our world is changing fast. Consumers, users, and buyers are calling the shots. New things become possible every second. And more complicated, too. Our clients are businesses around the globe. To make the best possible decisions every day, they need to really know what is going on, now and in the future. We don’t have a crystal ball, either. But we love data and science and we understand how to connect the two.

People management and product development for the digital operating room Your work scope Leading cross functional agile product team of 7-12 peopleDeveloping products for the medical domain based on Java and web technologiesDefining roadmap and plan releases with product ownerExecuting resource allocation and planningProviding interface for internal and external stakeholders of the data warehouse product portfolioEnsuring compliance with standards for the development processExecuting probation time and annual performance reviewsMonitoring team progress, identify resource or process bottlenecks and mitigate themReporting directly to CTOYour background

Fresenius Kabi ist ein weltweit tätiges Gesundheitsunternehmen, das Medikamente und Medizinprodukte zur Infusion, Transfusion und klinischen Ernährung anbietet. Unsere Produkte und Dienstleistungen werden in der Therapie und Versorgung von kritisch und chronisch kranken Patienten eingesetzt. (Senior) BI Application Expert (m/w) Unser Team “Business Intelligence Excellence” führt bei Fresenius Kabi Daten aus verschiedensten Quellen innerhalb einer heterogenen Systemlandschaft zusammen, um daraus mehrwertbringende Informationen zu generieren. Neben der Harmonisierung von Prozessdaten auf Basis eines fundierten Prozessverständnisses in diversen Disziplinen, liegt ein Schwerpunkt auf der Gestaltung und Aufbereitung von klar strukturierten und selbsterklärenden Berichten für die Entscheidungsträger der Organisation auf Basis fortschrittlicher BI-Systeme.

To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

What you will do: Envision, influence and lead our Data Science efforts to excellence by recruiting, promoting and developing a highly-motivated Data Scientist team that moves the business’s agenda forwardUtilize Big Data and Machine Learning to build predictive models that support decision making processes, customer experience and various business initiativesConduct Data Science research on business-critical topicsEnsure that the business stays ahead by promoting innovation and identifying new data sources and products that improve our predictive modeling capabilitiesCoordinate cross-functional analytic initiatives and work closely with other data and analytics teamsManage the development and deployment of the Data Science solutions end-to-end: develop the model, backend support systems and the performant production API of the modelsMonitor performance and continuously improve your team’s live production Data Science modelsWhat you should bring: