Entdecken Sie bei der Generali Deutschland AG neue Perspektiven als Data Science Engineer / Architect (m/w/d) (Aachen, Hamburg) Ihre Aufgabe Willkommen bei der IT der Generali Deutschland AG. Wir erbringen innovative IT-Dienstleistungen für die Unternehmen der internationalen Generali-Gruppe. Unsere Kernkompetenzen liegen in der Entwicklung leistungsfähiger und zukunftssicherer Konzern-IT-Anwendungen sowie im stabilen Betrieb einer Multi-Plattform-Infrastruktur. Hier bei Generali finden Sie alles, was Sie brauchen, um Ihre Karriere voranzutreiben. Aufgaben, die Sie herausfordern.

Entdecken Sie bei der Generali Deutschland AG neue Perspektiven als Cloud Data Engineer (m/w/d) (Aachen, Hamburg) Ihre Aufgabe Willkommen bei der IT der Generali Deutschland AG. Wir erbringen innovative IT-Dienstleistungen für die Unternehmen der internationalen Generali Gruppe. Unsere Kernkompetenzen liegen in der Entwicklung leistungsfähiger und zukunftssicherer Konzern-IT-Anwendungen sowie im stabilen Betrieb einer Multi-Plattform-Infrastruktur. Hier bei Generali finden Sie alles, was Sie brauchen, um Ihre Karriere voranzutreiben. Aufgaben, die Sie herausfordern. Verantwortung, die sich gut anfühlt.

Data Engineer (m/w/d) nördliches Hamburg Deine Aufgaben: du entwickelst einen Consumer Data Warehouse Architektur von Anfang an mit und betreust diese kontinuierlichDu übernimmst die Verantwortung in einer cloudbasierten Datenmodellierungsinfrastruktur von den Rohdaten bis zum fertigen ProduktDu entwickelst und implementierst logische Data-Pipelines und stellst Daten und Features zur Entwicklung von statistischen Modellen und Algorithmen bereit.Du stellst durch die Entwicklung von Tools und Services eine hohe Datenqualität darAbrufen von real-time DatenDein Profil:

At actio we are trying to help people improve their well-being by developing healthy habits. Our goal is to pull people from their daily routines and engage them in a never-repeating, high-quality & well-designed experience. Actio sessions are hard to skip: we’re going to call all the participants in! As a Senior Data Architect (w/m/d) at Actio, you will help actio establish a data-driven culture and enable your colleagues to make smart and informed decisions to drive actio’s growth, improve the user experience and help our coaches bring the best content to their audience all over the world.

At the earliest date possible we are looking for support for our #teamsonnen We are searching an experienced Data Architect / Data Engineer to take over a leading architecture and engineering role in our Advanced Data Analytics team. The team is a top-level expert team within the technology unit of the sonnen group. In close collaboration with sonnen’s functional units we develop new business and product relevant data analytics and  services to serve our customer with smart solution and in-depth advanced business insights.

Hypatos is leader in applying deeplearning technology to automate backoffice tasks. We specialist in advanced machine learning models to capture data from complex documents. Yes, this sounds dry, we know. But don’t be mistaken! Our technology helps to improve the way hundreds of million of people work every day and brings a step change to organizational efficiency. Join us and change work for good. To achieve our goals,We need your Support!

The Role As a big data engineer, you will be responsible for developing solutions and implementing requirements around our large-scale data processing platform in the Amazon cloud.This includes writing automated loaders that ingest data from various sources, developing modules to enrich raw data with additional attributes and designing algorithms to connect millions of data points every weekIn addition, you will work on algorithms to derive insights from our data set and implement tools to ensure a frictionless delivery of data to our customers all around the globe.

To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.

About Nubank Berlin Nubank Berlin is a satellite engineering office dedicated to serving the horizontal engineering needs of Nubank in Brazil - the leading fintech in Latin America. In Brazil, since 2014 we have been actively servicing millions of clients with our mobile-controlled credit card product. With head office São Paulo and an engineering office in Berlin, Nubank has raised USD 330 million in investment rounds led by Sequoia Capital, Founders Fund, Tiger Global, Kaszek Ventures, Goldman Sachs, QED Investors and DST Global.

You will be extending and maintaining the data warehouse, as well as contributing to the design of the database for new and existing servicesYou will support developers in improving the database query performanceYou will monitor the health of several live databasesYou will drive the Automation for the database engineersYou will review the work of your teammates and other teamsRequirements: You have experience in migrating databasesYou have strong knowledge in MySQL, PostgreSQL and high availability environments and knowledge in at least one other database management systemYou have development skills in at least one modern programming languageYou have knowledge in query optimizationYou know why automation needs to be doneYou are team-player and have experience in working in an agile environmentExperience in CI/CD is a plus, e.

The RoleAs a big data engineer, you will be responsible for developing solutions and implementing requirements around our large-scale data processing platform in the Amazon cloud.This includes writing automated loaders that ingest data from various sources, developing modules to enrich raw data with additional attributes and designing algorithms to connect millions of data points every weekIn addition, you will work on algorithms to derive insights from our data set and implement tools to ensure a frictionless delivery of data to our customers all around the globe.

Are you up for a successful “Grown-Up” headquartered in Berlin-Friedrichshain? smava is one of the biggest fintech employers and has received several awards, including the price for Innovator 2019 and the Top Employer 2019. Our company grows by 80 percent each year – become part of the smava story now! And let us grow together. We are, smava – the online credit comparison. We make loans transparent, fair and cheap! Become a part of smava’s Data Infrastructure story now as a:

What you will do Conception, development and optimization of a data and integration architecture with classic DWH- and data management-solutions (e.g., AWS, traditional ETL)Management of (meta-)dataDefinition of data flows and creation of interfaces for the connection of external systems (API) as well as scaling to multiple machines (incl. generation of disaster recovery systems)Very high product responsibility and the possibility to significantly shape the internal and external analytics agendaClose collaboration with our CFO and CTO and a dynamic team of statisticians, developers and analystsEvaluation and testing of new technologies – high degrees of freedom for implementing new technologies, such as Machine LearningWhat we expect

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.

Delivery Hero is building the next generation of online food-delivery platforms. We are truly international with engineering teams in 12 countries and operations in 40+ countries. Delivery Hero Tech has played an instrumental role in the large growth of our company. Our Tech teams leverage a diverse stack to create cutting-edge solutions which cover the full customer experience - starting with an online search for food and ending with a delicious meal arriving at your doorstep.

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.

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.

ABOUT THE TEAM Department: Retail Operations – Team Preorder & Merchandise Optimisation Reports to: Engineering Lead Team Size: <10 Recruiter Name, E-mail: Andreea Lungulescu at andreea.lungulescu@zalando.de As a Data Engineer in the Retail Operations Data Products team, you’ll work with Data Scientists, Backend and Research Engineers to build data-driven products that help Zalando place the right orders for the right articles. Having successfully launched our Sizing Distribution product (a prediction / recommendation system) we are venturing into developing and building new and impactful products to support our colleagues into making smart decisions when spending a budget of approximately 2-3bn.

Deine Aufgabenfelder: Aufsetzen des Frameworks für unser Cloud-basiertes Data Processing & Analytics, Mithilfe beim Aufbau einer State-of-the-Art Industrial IoT Plattform unter Nutzung vorhandener ProdukteGestaltung von Dashboards & VisualisierungenUnterstützung der Softwareentwicklung auf Basis von stark datengetriebenen Analyse-/ML-/AI-MethodikenBetreuung von Configuration Management, etc.Unterstützung der Produktentwicklung in cross-funktionalen TeamsProjektmanagement und ReportingDeine Qualifikationen: Erfolgreicher Studienabschluss im Bereich Informatik oder vergleichbarKenntnisse im Aufbau von Analytics-UmgebungenErfahrung im Dashboarding und der VisualisierungIntensive Erfahrung mit Google Cloud, AWS, o.ä..Kenntnisse im Bereich Datenbankdesign und DevOpsErfahrung im Design von Programmierschnittstellen (APIs, Bibliotheken), bevorzugt mit PythonAusgeprägte analytische DenkweiseSelbstständige und ergebnisorientierte ArbeitsweiseDomänenwissen im Bereich Windenergie von VorteilGute Deutsch- und EnglischkenntnisseDeine Benefits:

ABOUT THE TEAM Department: Markets  Reports to: Team Lead  Team Size: >5 Recruiter Name, E-mail: Cristiana Martins, cristiana.martins@zalando.de As a Team Lead Engineering, you will integrate data sources from all Zalando and enrich them via ETL and Data Science. You will create interfaces and reports for self service and be the bridge between tech and commercial teams. WHERE YOUR EXPERTISE IS NEEDED Lead a team of engineers with different backgrounds such as big data engineers, front end developers and ad-hoc consultants and grow tech mastery and best practices trough leadership and living our valuesExtend the team’s technology, which includes a move towards AWS and Data Science technologies and toolsDiscover new business use cases and data sources, accessing more than 100 data sources in our Data Lake and processing them for business critical applications.