This ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work.At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – help more than 6 million people around the globe to keep learning new, exciting things each and every day.In 2017, our app was named by Apple as one of the very best in the App Store.

Scout24 Insights and Analytics is a diverse team of data experts that unlocks business value in product development, marketing and customer experience by enabling self-service of data and information and providing deep business insights. We are looking for a Data Engineer who is excited about building scalable data flows and bringing innovative new ideas on information discovery to live.  What you will do at Scout24: Build and maintain scalable, high performing data-processing workflows with a focus on extensibility.

ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <7 Recruiter: Almog Greenberg, almog.greenberg@zalando.de For 60% of customers, good prices are the reason for choosing an online retailer. As a Data Specialist within Zalando’s Competitive Pricing team, you will have a direct and significant impact on our customers, revenues and profits, by making sure our offers across all markets and brands are attractively positioned. As part of our cross-functional agile team consisting of engineers and data scientists, you will automate pricing decisions based on our vast amount of crawled data as well as improve and develop pricing algorithms.

Who we are The future of transportation is Green. Here at FlixMobility Tech, the R&D group, we develop software with the brightest minds from around the world to engineer new experiences for our millions of customers across our apps and websites. Every day we solve challenging problems, like how to scale rapidly around the world and how to make an experience that delights our customers. We have a culture of sharing ideas, contributing to open source projects and being an active member in our technical communities.

Who we are The future of transportation is Green. Here at FlixMobility Tech, the R&D group, we develop software with the brightest minds from around the world to engineer new experiences for our millions of customers across our apps and websites. Every day we solve challenging problems, like how to scale rapidly around the world and how to make an experience that delights our customers. We have a culture of sharing ideas, contributing to open source projects and being an active member in our technical communities.

Your Job:  Become an essential part of our highly-qualified data science team for innovative projects and R&DTake responsibility for the development of smart analytics solutions for our marketing department and live operationsApply modern machine learning techniques to generate predictions with a direct business impactMentor more junior team membersHave a real impact on how we further develop our data-driven business operationsCollaborate closely with our data warehouse engineersYour Profile:  At least five years’ professional experience in applying statistics/data mining/machine learning methods in data science projectsProfessional experience in deploying analytics solutions in a production environmentHands-on experience of conducting analysis on structured and semi-structured dataExtensive experience with SQL and noSQL databases, such as HPE Vertica or Google BigQueryPractical experience with R and Python and familiarity with data aggregation, visualization, and machine learning libraries, e.

We are looking for a motivated and enthusiastic Data Analyst (m/f) to join our Data Engineering team. You will have the chance to exponentially grow your Big Data analysis skills and be part of deep business analytical insights and provide data that has huge business impact. A pleasant ambiance, teamwork, flat hierarchies and fast decision making will help you perform and grow further.     YOUR RESPONSIBILITIES Perform regular deep-dive and insightful analysis integrating data from several data sources (Spark, MySQL, NoSQL) to provide analysis to deeply understand and drive data engineering team goalsDeliver insights based on mathematical modelling (e.

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.

Gemeinsam mit unseren Kunden lösen wir Probleme großer Tragweite mit innovativen und zukunftsweisenden Ansätzen. Hierfür entwickeln wir maschinen- und datengetriebene Lösungen basierend auf großen Datenmengen und neuesten statistischmathematischen Ansätzen (Big Data, Machine Learning, Deep Learning) und decken die ganze Bandbreite von mathematisch komplexen Analysen über automatisierte Entscheidungsmodelle bis hin zu intelligenten Softwarefeatures ab. Als Teil eines verteilten und interdisziplinären Teams arbeitest Du innovativ sowie industrie- und anwendungsnah an den großen Herausforderungen der Wirtschaft in einer angenehmen, technisch fordernden Arbeitsumgebung unter engagierten Kolleginnen und Kollegen.

Unsere Welt verändert sich rasant. Täglich werden neue Dinge möglich und darüber hinaus komplizierter. Um die bestmöglichen Entscheidungen für Ihr Unternehmen zu treffen, müssen Sie verstehen, was um Sie herum passiert – jetzt und auch in Zukunft. Wir bei GfK verbinden Daten mit Wissen. Wir sind Digital Engineers, die ihren Kunden mithilfe innovativer Technologien und wissenschaftlicher Verfahren faktenbasierte Antworten auf die wichtigsten Unternehmensfragen geben. Denn wir sind überzeugt: Wachstum basiert auf Wissen.

About the job As a Big Data Engineer at HelloFresh, you will be collaborating to build one of the most advanced big data platforms in Europe. You will develop distributed services that processes data in near-time and real-time, with focus on scalability, data quality and integration of machine learning models.  Plan, Implement and maintain distributed, service-oriented and message-oriented data platform components Design, build, and maintain data ingestion, ETLs and infrastructure for batch and near real time processing.

Junior Data Scientist (m/f) Berlin About the job HelloFresh Data Science is an interdisciplinary team that designs, implements and maintains state of the art machine learning models to automate and optimize marketing, operations, logistics and customer experience.  We are looking for a Senior Data Scientist who is excited about turning innovative ideas into powerful data driven products.  Working closely with the data scientist and engineers on the team you will help bringing these ideas into reality and improve the e-commerce experience of millions of customers around the globe.

 Your challenge:You will be part of the Data Warehouse Development team and be responsible for maintaining and developing data solutions in collaboration with the respective stakeholders.You familiarize yourself with our data solutions and the tools we use.You identify tools and techniques for advancing and evolving our data solutions.You coach and mentor more junior members of your team so that we can all be great together.You integrate new sources into our existing data warehouse structure and develop the views, setup and monitor ETL jobs and significantly contribute to our data warehouse architecture to support all business needs.

Seit 50 Jahren steht die ESG für umfassende Expertise im IT- und sicherheitsrelevanten Umfeld. Unter der Marke CYOSS unterstützen wir Kunden aus Industrie und Behörden durch den Einsatz modernster Big Data Technologien und Methoden der künstlichen Intelligenz dabei, relevantes und handlungsfähiges Wissen aus Massendaten zu ziehen und damit die großartigen Chancen einer vernetzten Welt zu nutzen. Arbeiten Sie mit Spezialisten an hochkomplexen Projekten und entwickeln Sie sich mit uns weiter.

Akelius buys, upgrades and manages residential properties. The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States. We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.

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.

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.

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.

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:

We are seeking a data engineer who will work with our ambitious team and take our data infrastructure to the next level to help make our customers successful. If you are passionate about empowering people in making data-driven decisions, then we’re eager to get to know you. You have the option to start immediately in our Hamburg office. This is a full-time, permanent position. Responsibilities Shape and execute a technological mid and long term vision for data engineering with the teamProvide data in a reliable and efficient way to our stakeholders by keeping the data warehouse and all incoming and outgoing data streams running and up to dateHelp improving our product by finding and implementing new ways of using dataResearch and implement a new and advanced tech stackBuild and improve software solutions to support the work of Data Analysts and other teams in their daily workDefine processes and contracts for providing clean and unified dataRequirements