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.

YOUR TASKS Within the Global DWH Engineering Team you can work with huge amount of data and help us to improve in using it in the right way in Germany, Austria, Italy, Poland and Mexico.We’re not only dealing with data, but also heading towards Continuous Delivery and constantly improve and converge our systems to become a truly Global Data Warehouse by migrating our services into the public cloud. But you will not only be responsible for development but also operate our services on-premise and within the cloud.

trivago is currently working on the restart of the travel industry after the global COVID-19 pandemic and we see this as an opportunity to improve our core product, expand our offering by developing new products and diversify our revenues through new revenue streams. The Market and Advertiser Dynamics team develops different types of auctions and is responsible for the commercialization of our products. Advertisers compete in these auctions for exposure in trivago’s website (and mobile Apps) by submitting attractive property rates and competitive bids.

YOUR TASKS You analyze and support requirements from the first user story to go-liveYou contribute to solution design, develop, test and document your implementationYou take end-to-end responsibility for the solution componentYou perform analyses in the Business Intelligence environmentYou support operations and take responsibility for productive processesYou perform code reviewsTECHSTACK Airflow, Kafka, Jenkins, Git, Docker, Kubernetes, Openshift, Cloud Services, Python, Hive, Spark, Oracle PL/SQL, MapR YOUR SKILLS You have 6+ years of work experience as a Data Engineer or a similar positionYou are a clean coder with an agile mindset and you love DevOpsBig data doesn’t scare you and you have experience with different Big Data toolsYou are familiar with the following toolsOracle PL/SQLHadoop distributionPythonYou are characterized by a high quality awareness and your trustworthinessYour German and English skills are good Link: https://www.

Evaluierung und Betrieb von BigData-Komponenten (Wie z.B. Cassandra / Kafka) in einem Skalierbaren Umfeld (Kubernetes).Evaluierung und Umsetzung von Datenreplikationskonzepten zur Entkopplung der Ressourcen zwischen Analyse und ProduktionEvaluierung und Umsetzung von übergreifenden Sicherheitskonzepten bezüglich des DatenzugriffsEvaluierung und Integration von Tools im Data Science Umfeld (Spark, Flink, Jupyter usw.)Koordinierung und Test der Umsetzung von Teamübergreifenden AnforderungenTechnische Umsetzung der Anforderungen in einem selbst-organisierten TeamUmsetzung von Frontends gemäß Vorgaben auf Grundlage des GEC UI Frameworks.

You see data as fundamentally important for business decisions. With your skills and experience in working with data lakes, event streams, and data pipelines, it is always easy for you to set up new infrastructure and processes, make necessary changes to the configuration and ensure reliable application and user access to the data. Your desk will be located in Munich or Berlin, but your impact will be global.What will you be doing:

Are you an engineer with a passion for data and data pipelines? Are you a skilled collaborator and communicator with experience in working across teams to solve complex problems? Our Marketplace team is looking for an innovative yet detail-oriented data engineer to set up, maintain, improve and optimise our daily production of data. In this role, you’ll work closely with both Data Scientists and other Data Engineers to continuously enhance our data-driven decision making.

Join our team European XFEL is an international non-profit company located in the Hamburg area in Germany. It operates a 3.4 km-long X-ray laser, which produces X-rays of unique quality for studies in physics, chemistry, the life sciences, materials research and other disciplines. The diverse scientific facilities at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. Our ITDM Group is looking for a

The National Research Data Infrastructure (NFDI) is an outstanding infrastructure initiative for the scientific communities in Germany with the aim to harness the great potential of research data as a valuable resource for science and research. The following positions will be placed within this network. The Technische Informationsbibliothek (TIB) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ two Data Scientists/Knowledge Graph Engineers (m/f/d)

The National Research Data Infrastructure (NFDI) is an outstanding infrastructure initiative for the science communities in Germany with the aim to harness the great potential of Research Data as a valuable resource for science and research. As of 1st October 2020, the first round of NFDI consortia will receive funding for a period of five years, with the option of a five-year extension. TIB will play a key role in shaping the NFDI from the very beginning.

POSITION SUMMARY BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.

Responsibilities  Development of state-of-the-art machine learning algorithms/workflows to support the analysis of digital pathology images  Implement features in Definiens’ deep-learning ecosystemPlan and discuss architecture improvements with your Scrum TeamOptimize performance and quality of existing software componentsImplement automated tests to ensure high quality software applications (TDD principles)  Qualifications & Skills  Required: Degree in Computer Science or related field3+ years of experience developing software with PythonExperience using Git in a professional environmentUsed to writing automated tests and configuring CI pipelinesSolving image and data analysis problems using machine learningExperience with machine learning (e.

The Semantic Web Company (SWC) is a leading provider of software and services in the areas of Semantic Information Management, Machine Learning, Natural Language Processing, and Linked Data technologies. SWC’s renowned PoolParty Semantic Suite software platform is used in large enterprises, Government Organizations, NPOs and NGOs around the globe to extract meaning from big data. Semantic Web Company values loyalty, intelligence and innovation and rewards strong performance with increased responsibility and growth opportunities.

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.

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

IMAGINE - What you will work on: Our Transportation Infrastructure Technologies Competence Unit (https://www.ait.ac.at/en/research-topics/road-condition-monitoring-assessments/ ) is at the forefront of technology development, for example on the subject of road condition assessment. Our fleet of measuring vehicles, like The RoadSTAR is a mobile laboratory that provides accurate and objective data on the condition of road surfaces (motorway surfaces).You will be part of an multidisciplinary expert team and you will be responsible for the development of the software for the measurement and monitoring systems and you will conduct in-depth data analyses.

mobile.de, part of the eBay Inc family of companies, is the largest online vehicle trade site in Germany. Our office campus is co-located with the eBay Marketplace and ebay Kleinanzeigen offices in Dreilinden, just outside Berlin.   This is an exciting opportunity to work on a new, innovative product and we are looking for you as a Software Engineer - Data Products (f/m/d)   This role sits within the Data- and Tech- organisation and directly partners with Data Scientists and Product Managers to help create valuable products for our users.

 What’s on the menu? Analyze, understand, profile and describe structured and semi-structured data form all areas of the business.Identify and specify data needs and quality requirements to support modeling.Research, design and implement descriptive, predictive and inferential models using artificial intelligence and machine learning techniques.Collaborate with other data scientists, product specialists, and user experience teams to understand business processes, identify data and solution requirements.Guide data engineers to develop well-crafted engineering solutions and design processes to ensure their efficient operation at scale.

POSITION SUMMARY BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.

Your tasks - Paint the world green You are our truffle hunter, who quickly finds a way through complex datasets and recognizes opportunities to grow and to optimizeYou filter growth relevant information from our BI/tracking systems and convert complexity into simplicityYou analyze our data systems and algorithms for customer relationship management and customer behavior modeling; you solve our complex business challenges with creative insightsYou use statistical models to answer real-life questions like; “What are the effects of price changes and how to adjust marketing spend (e.