Für unser junges Big Data Team suchen wir Verstärkung! Entwickeln Sie gemeinsam mit uns die neue Tchibo „leading edge“ BI-/Big-Data-Architektur weiter! Durch moderne Open-Source-Software und skalierender Cloud-Infrastruktur arbeiten Sie in diesem jungen Bereich an einem Realtime-fähigen Event Data Lake. Auf dieser Basis werden leistungsfähige und hochverfügbare „Data Services“ wie z.B. neue Self-Service BI Portale, Realtime-Scorings oder Machine Learning Modell mit unseren Data Scientists sowie den Fachbereichen entwickelt. Von der Anbindung von Datenquellen mit strukturierten/unstrukturierten Daten, über die Datenintegration und der Bereitstellung einer Machine Learning Infrastruktur für unsere Data Scientists, bis hin zu unseren Analyse-Tools und -Frontends entwickeln wir hoch performante Daten-Pipelines und Streaming-Architekturen.

Uns hast du hier nicht erwartet oder? Aber mal ehrlich: Mode und IT sind Welten die man selten miteinander verbindet, aber hier bei Breuninger tun wir genau das! Während wir unsere neue wegweisende E-Commerce Plattform von Grund auf neu entwickeln, arbeiten wir an unserer IOS und Android App, Beacon Technologien, Data Science Projekten und einer Menge mehr! Hast du Interesse daran in einer agilen Umgebung an einer Fülle von zukunftsweisenden Projekten zu arbeiten – Und das mit Kollegen, die auch an deiner Entwicklung interessiert sind?

Do you not only love to code but also want to see your work making the lives of millions of people easier?  Please keep reading! You will join GoEuro’s Marketing Growth team, where you will work on a variety of projects that aim at attracting users and making them travel with GoEuro for the first, second and hundredth time.  To achieve this vision, you will do the following: Design and build backend systems and contribute to frontend projects such as our Landing Pages System, ADs System, Analytics Data Pipelines, just to name a few.

About your new job: As a Data Engineer in our Business Processes & Intelligence team you will work on all parts of the engine driving the operations and data analytics within Allthings, particularly the data flows in and out of our core database. Your understanding of our product data structure will make you the go to person for our data scientists and user engagement specialists, and together you will engineer brilliant solutions that bring the company forward.

WHO WE ARE: We are internetstores – the leading specialist for bike and outdoor products in Europe. Founded in 2003, we are today among the biggest and most profitable e-commerce companies, with more than 40 online shops, more than 2 million page views per day and an unparalleled product selection. We are fahrrad.de, Bikester, Brügelmann, CAMPZ and Addnature and we have only one goal: offering our clients from 16 different countries every day quality products and latest trends for the best prices as well as an excellent shopping experience!

What does it mean to work with us? SUCCESS: Sixt is an IT company with a very large car pool. Our inhouse development team is the driving force behind the Sixt software which enables and optimizes the daily work of more than 6,000 employees in over 100 countries. We shape the future of mobility through innovation by using modern technologies! SPEED: Flat hierarchies and short decision paths enable us to be extremely dynamic and always one step ahead.

SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies. Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly.

About the team:  We are team Bus Factor, a cross-functional team of highly motivated data scientists and engineers. We are striving to solve highly challenging real-world problems that have an impact (and that are NOT related to marketing!). Our goal is to sell the right ticket at the right time to the right person for the right price to maximize revenue. We hold regular knowledge-sharing sessions for exchanging ideas about the latest technologies and organize bi-monthly HackrDays were we contribute to open source projects and innovative business initiatives.

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

For KI labs we are looking for data engineers at mid-senior levels of experience (and also working students), to join our rapidly growing data team in Munich as part-time or full-time employees. Your Responsibilities Design, build, and scale data products, and deploy them on public and private clouds, e.g. Amazon AWS, Google Cloud or Microsoft Azure;Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insight where to go;Support Cloud Engineers and Data Scientists with architecting and orchestrating data infrastructures;Support Software Development teams with Data, e.

 About us a&o is a hostel company true to the maxim: „everyone can travel“. This idea is backed by a fast-growing team of professionals. Flat hierarchies, steady growth, innovation and a dynamic culture characterise a&o, offering an ideal career platform to lateral entrants. A spirit of fairness, social responsibility and conscientiousness permeate our personal relationships. After all, a strong collective ensures that work – and success – are a lot more fun.

 About us a&o is a hostel company true to the maxim: „everyone can travel“. This idea is backed by a fast-growing team of professionals. Flat hierarchies, steady growth, innovation and a dynamic culture characterise a&o, offering an ideal career platform to lateral entrants. A spirit of fairness, social responsibility and conscientiousness permeate our personal relationships. After all, a strong collective ensures that work – and success – are a lot more fun.

 About us a&o is a hostel company true to the maxim: „everyone can travel“. This idea is backed by a fast-growing team of professionals. Flat hierarchies, steady growth, innovation and a dynamic culture characterise a&o, offering an ideal career platform to lateral entrants. A spirit of fairness, social responsibility and conscientiousness permeate our personal relationships. After all, a strong collective ensures that work – and success – are a lot more fun.

 About us a&o is a hostel company true to the maxim: „everyone can travel“. This idea is backed by a fast-growing team of professionals. Flat hierarchies, steady growth, innovation and a dynamic culture characterise a&o, offering an ideal career platform to lateral entrants. A spirit of fairness, social responsibility and conscientiousness permeate our personal relationships. After all, a strong collective ensures that work – and success – are a lot more fun.

This is a key role within our Data & Analytics team and gives you the opportunity to build a world-class Data Landscape for Scout24. This is ideal for someone with strong focus on cloud-based data technologies, good service and DataOps orientation, and loves to build data-driven business. You will be involved in working with huge amount of data, cutting-edge technologies and working with some of the most influential and impactful data projects in Germany.

To support our ambitious growth, we are now looking for a Web Analyst (M/F/X) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You conduct quantitative evaluations of hypotheses in the product-lifecycle prior to the implementationYou take over the measurement responsibilities in the Build-Measure-Learn-CycleYou identify potential optimization opportunities in the customer lifecycle and form predictionsYou work closely together with Product Owners, using data to help them identify features that would make their product more user-friendly and effectiveYou help validate potential A/B tests hypothesis, as well as analyze tests’ results and share them with stakeholdersYou monitor business relevant KPIsYour Profile – Ready to hop on board

You will be Project Member of the GET ONE Project! Within the strategic program GET ONE we are creating the universal basis for our core business and future strategies in Europe.  The IT of Financial Services enables efficient business processes by providing excellent operational IT services, delivering effective solutions and utilizing innovation to create competitive advantage. Get on board and shape the future together with us. You want to work in a changing environment where stability meets digitization?

Woran arbeitest du? Weiterentwicklung unseres produktiven Self-Service BI ToolsErstellung von BI Reports für alle Geschäftsbereiche, d.h. Risk Management, Compliance, Customer Support, Marketing und DatenbankmanagementErstellung von KPI Dashboards für die ManagementebeneAd-hoc Visualisierung von GeschäftsdatenOptimale Einbindung unseres Data Lakes bzw. unseres Apache Spark basierten Data Warehouses - Technologieeinsatz, Clustermanagement, Job ScheduleTransformation der performanten Rohdaten in die Business Analysis PerspektiveWer sind wir? Sportwetten-Software Entwickler der ersten Stunde mit 16 Jahren ErfahrungVorreiter im Bereich Sportwetten-Applikationen, die Triebfeder unseres GeschäftserfolgsEin Team von 35 MitarbeiternUnsere Geschäftskunden arbeiten eng und vertrauensvoll mit uns zusammen und wir verantworten das Produktmanagement mitWir betreiben hochskalierbare und performance-kritische Softwaresysteme mit hohem Transaktionsvolumen, genau wie im Logistik-, Finanz- oder TelekommunikationswesenWas bringst du mit?

Delivery Hero is building the next generation global online food-delivery platform.   We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.   We are looking for Data Scientists in different entry levels to join our central Data Science team in Berlin.