Your tasks Recording and solving customer problems in different branches via ML/DM toolsIdentifying data sources and researching technical questionsConsolidation from data and analysing results, such as visualization and recommendations for the ongoing procedureCoordination from internal and external projects as well as creating and presenting of customer presentationsPlanning and visualization of different project tasksYour skills Successfully completed studies as a bachelor/master in computer science, business administration, mathematics or similarKnowledge in the newest analytic procedures like Data Mining, Statistical Modelling and Machine LearningExperience with Big Data technology, e.
Do you want the chance to be one of the engineers dedicated to running advanced ETL jobs across 100+ machines, bridging the gap between Business Intelligence and Data Engineering, and enabling trivago’s BI teams to deliver insights, data and reports to internal and external stakeholders? Our BI team is looking for skilled and courageous engineers, who are not scared at the prospect of working with such huge data and complex structures, but cannot wait to get stuck in.
The Opportunity Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics, to big brands, to manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. You will work for the Data Services department in Zalando, in the team that is taking care of defining our Data Lake. The Data Lake is a platform that aims to collect all the data and business events generated within Zalando, in near-real-time and batch manner, archive them, offer transformation functionalities and data access that will be used to take data-driven decisions.
A Data Engineer at trivago supplements our cutting-edge analytics teams and brings our data platform to the next level. They achieve this by creating real-time streaming processes to ingest millions of messages every minute. In this role, you design, implement and support data models and ETLs in Hadoop in order to process several terabytes of data each week. You also set up monitor processes and be first in line to deal with and solve data-related problems or errors.
XING is the social network for business professionals with millions of members all over the world. Help us shape the future - for a better working life! We currently have an opening at our headquarters in Hamburg. The XING Growth team helps prospects find our platform when they need it, onboard users easily and provide quick access to useful functions and features. This cross-functional team consists of around 30 people working in Development, Project Management, Product, User Experience and Quality Assurance.
Tasks: In the core processes of our business divisions, large data volumes are created on whose basis our “Big Data, Machine Learning, Artificial Intelligence” department optimises processes that increase product quality and develops new products and services. As part of your role as a Machine Learning Engineer, you will process data and provide them to end-to-end projects and use cases. For this purpose, you will specify the requirements from use cases in collaboration with specialist departments and data scientists and will subsequently develop suitable IT solutions together with further partners in agile projects.
Herausfordernde IT-Projekte an der Spitze der technologischen EntwicklungKonzeption und Implementierung von Datenplattformen, Datenverarbeitungsprozessen und Daten-Services als hoch skalierbare verteilte Systeme in der Cloud, on-Premise oder hybridDesign und Implementierung von Software-Lösungen für die Nutzung polystrukturierter Daten mit Apache Hadoop, Spark, Kafka, SQL- und NoSQL-DatenbankenUmsetzung der Projekte von der Analyse bis zum RolloutQualitätsgetriebene Software-EntwicklungEinsatz agiler Vorgehensweisen (insbesondere Scrum)Skills & Requirements Sie können ein abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation vorweisenSie bringen Berufserfahrung in Big-Data- oder Business-Intelligence-Projekten oder in der Software-Entwicklung mitMit verschiedenen Big-Data-Technologien wie z.