Aufgaben Konzeption und Umsetzung (Rapid Prototyping) von Datenflüssen, -modellen und -schnittstellen im Analytics- sowie im Machine Learning-UmfeldUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists und Data EngineersDefinition, Kommunikation und kontinuierliche Weiterentwicklung interner DatenstandardsErarbeitung sowie Beschreibung von Datenkatalogen und -lebenszyklenDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusEnge Zusammenarbeit mit dem Cyber Security Team bei der Anwendungsfall-basierten Betrachtung von DatensicherungsmaßnahmenVerfolgung von Trends im Analytics- und Data Governance-UmfeldMitwirkung bei Definition der Datenstrategie des TÜV SÜDQualifikation

Aufgaben Konzeption und Umsetzung (Rapid Prototyping) skalierbarer Modelle sowie Analysen für Big Data- und Internet of Things-DatenprodukteBearbeitung großer Datenmengen mit state-of-the-art Data Science-Methoden, wie z. B. Machine Learning, Classification, Clustering, Time Series Analysis und Pattern SearchUse Case-getriebene sowie agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists, Data Engineers und Data ArchitectsZielgruppengerechte Kommunikation der Ergebnisse mit den Geschäftsbereichen der TÜV SÜD Gruppe und deren KundenDefinition der Anforderungen an Verbesserung der Datenqualität im Rahmen der AnwendungsfälleVerfolgung von Trends im Data Science-, Analytics- und Big Data-Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation

Our global IT team is on the leading edge of Infineon’s transformation to agile development and to digitalize our products and services. We empower our R&D community with state-of-the-art software engineering practices, environments and tool platforms that allow for Continuous Integration and automated workflows. We are searching for an engaged and technical person who is interested in implementing tools and automations for Infineon’s software development community. As IT Business Analyst for Software Engineering KPIs you will have key responsibility in important software development projects and initiatives.

Data Engineer (m/f/o) You are a problem solver (m/f/o), detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives. Area: Business Intelligence Start: April 2019 Location: Hamburg What we are looking for: Your are a team player (m/w/o)You are experience in either Scala, Python or JavaYou know Spark, Streaming Libraries (Spark Streaming, Kafka Streams, etc.), Hadoop Ecosystem (Hive, HDFS, YARN, etc.)You have prior experience with RDBMS and NoSQL databases and as a result know which storage type to use for a particular use-cases, how to create a good data model and write efficient SQL for future extractionsHands-on experience with BigQuery would be a great plusYou previously worked with mature CI/CD pipeline and made several production deployments during the dayWhat you will do:

Zattoo is creating the future of television, live and on demand.  We build apps for mobile, web and big screens like Apple, Android, Samsung, Amazon Fire TV, Xbox One and many more. The RoleData is a core advantage of OTT / unicast TV over traditional broadcast. We know exactly what content our viewers watch, how popular a show and how many seconds of each and every ad campaign is viewed.  At Zattoo we are already reading a lot of our data, but we do not want it anymore, as we believe in the power of data.

Fashion und Lifestyle, 5.500 Mitarbeiter, 11 Department Stores, 1 E-Shop, 1000 Marken, 20 Restaurants & Confiserien, 15 erstklassige Services und stets ein besonderes Einkaufserlebnis – das ist Breuninger. Aufgaben Das Data Platform Services Team ist verantwortlich für den Betrieb sowie die Weiterentwicklung der Data Platform bei Breuninger. Die Plattform ist die Arbeitsgrundlage analytischer Prozesse, die unternehmensrelevante KPIs erarbeiten und diese in Dashboards abbilden. Außerdem werden Daten für operative Systeme bereitgestellt und regelmäßig neue Datenfeeds (intern wie extern) angebunden, welche die Genauigkeit der Insights verbessern.

Big Data Developer or Architect (Cloud, DevOps, Open Source) Job description As a Big Data Developer, your aim is to design architectures for Applications, On Demand Workflows, On Demand Data Labs and Microservices using Open Source and Cloud tools and implement them together with the client. Therefore we are looking for Developers and Architects of different levels with different focus areas: Generally good to have: Docker, Kafka, Hadoop, Spark, Kubernetes/Mesos, Version Control.

Als eines der führenden Medienhäuser Deutschlands gestalten wir den digitalen Wandel aktiv. Unsere IT spielt dabei eine zentrale Rolle und zeichnet sich durch den Einsatz moderner Tools und Technologien aus. Du bist auf der Suche nach einer neuen Herausforderung, bei der Du mit Leidenschaft für den Bereich BI mit Gestaltungswillen und ausgezeichneten IT-Kenntnissen überzeugen kannst? Dann bieten wir Dir ab sofort eine spannende Tätigkeit als Senior Data-Engineer / BI-Developer (m/w) (Schwerpunkt Microsoft Azure-BI)

As part of the Hotel Search pillar, you are shaping the future of trivago’s main product to help our users to find the ideal hotel. You will join one of our agile engineering teams of smart, motivated and curious people and work on our AWS platform to deliver the best and most relevant data to our millions of users and other trivago teams by utilizing modern technologies like Apache Kafka, Kinesis, Lambda, Hadoop and Redshift.

Data stream processing is redefining what’s possible in the world of data-driven applications and services. data Artisans with its dA Platform product and its major contributions to open-source Apache Flink is at the forefront of this development. Our teams are pushing the boundaries of what can be achieved with data stream processing, allowing our users and customers to gain more insights into their data in real-time. Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production.

Your role will be to… Bring an analytical, quantitative mindset to a broad range of mobile growth challenges at a swiftly growing consumer app.Plan, conduct and analyze A/B tests and growth experiments to improve our product and marketing communication.Lead our ASO strategy, working with a team of regional localization specialists.Use the latest tools and technologies to drive sustainable community growth.Overlook marketing data and provide insights to the rest of the team.

Our mission The future of mobility is shared and autonomous. With electric and self-driving vehicles hitting the roads in the coming years, we are working towards a revolution in urban mobility and increasing the quality of urban life by reducing traffic and emissions. It’s on us to create remarkable products and services around thousands of autonomous vehicles that bring people to their destinations quickly, safely and as conveniently as possible.

You love large data volumes and are enthusiastic about the technology-driven optimisation of shop logic? Then you are at the right place as a Machine Learning Engineer (f/m/d) at real.digital Your tasks – this is what awaits you in detail You will closely cooperate with our data engineers and business stakeholders to realise machine learning projects from initiation to endYou will choose emerging technologies and approaches to create high-performance machine Learning processing solutions and other data driven applications that scaleImplementation and development of data pipeline, algorithms, and data stores for a pioneering cloud-based big data applicationChallenging our status quo and helping us define best practices for how we workYour profile – this is what we expect from you

FlixMobility ist ein Mobilitätsanbieter mit Standorten in Europa und in den USA. Seit 2013 bieten die grünen FlixBusse für Millionen von Menschen eine neue Alternative, um bequem, preiswert und umweltfreundlich zu reisen. Dank eines einzigartigen Geschäftsmodells und innovativer Technologie hat das Start-up innerhalb kürzester Zeit Europas größtes Fernbusnetz etabliert. 2018 startete FlixMobility die ersten grünen FlixTrains in Deutschland und expandiert an die US Westküste. Deine Aufgaben - Du kannst etwas bewegen

At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.  Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

Our team is responsible for the central IT platform for leading BMW client data for the BMW Group’s brands and services. The platform is a central component of the customer ecosystem (CES) and contributes to the digitisation of sales and marketing processes.  To meet the future demands of the platform regarding growth, flexibility and stability, we are planning a change to microservice and cloud technologies.  Your responsibilities:  You develop proof of concepts and define guidelines for the further development of the platform.

Would you book a hotel without knowing anything about it? Neither would we! Here at trivago, we want to provide our users with the best and most relevant information to help them find the ideal hotel. To achieve this, we build highly scalable data pipelines in AWS to collect data about millions of hotels. We are looking for experienced, entrepreneurial Software Engineers to help build and maintain our data pipelines and deliver data to our internal teams.

Build up a Machine Learning team in digital health IT Berlin, Germany Our technologies have raised the performance bar in more than 6,000 operating rooms worldwide, and are supporting the next generation of data-enabled OR teams in over 10 million procedures per year. Headquartered in Berlin and Boston, with over 90 employees from 20 different nationalities, recently having raised over 10 million in our latest funding round, we seek highly-motivated and passionate individuals to join us.

Once here you will As a Data Scientist, you have the opportunity to have a major impact on our data landscape and help us leverage the latest technologies to create an efficient data-driven FinTech productWork closely with the core backend engineers and other data scientists to design and maintain scalable data models and pipelinesDesign scalable, performance algorithms to provide better and more intelligent user experiencesPerform extensive exploratory data analysis and see beyond just the obvious data to provide valuable insights from user behaviour and transactional dataWhat you will bring along

Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team and looking for a Senior Machine Learning Engineer (to lead our ML efforts and to join us in our journey towards building a great experience for our customers and solving some of the most complex problems in Online marketing and online paid advertising.