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Software Developers Data Scientists (f/m/d) at European XFEL GmbH (Schenefeld, Deutschland)

Join the European XFEL 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. To support our Data Analysis Group we are looking for two

Deep Learning Scientist/Engineer with focus on Remote Sensing at GAF AG (München, Deutschland)

To support current and upcoming projects in the exciting field of satellite data processing, we are looking for a Deep Learning Scientist/Engineer with focus on Remote Sensing at our headquarters in Munich. Our Earth Observation based portfolio is used worldwide by public authorities, companies and in scientific communities. With the help of our data analytics capacities we provide thematic and statistical information on various spatial reference levels globally. The processing of large amounts of satellite data with innovative analysis methods in cloud infrastructures has been indispensable for several years and enables e.

Praktikant (m/w/d) Data Analytics at ING-DiBa AG (Frankfurt am Main, Deutschland)

Du hörst nie auf, neugierig zu sein, und willst jeden Tag dazulernen. Und das am liebsten von den Besten und mit den besten Aussichten. Du suchst die Herausforderung und möchtest endlich die Theorie Deines Studiums in die Praxis umsetzen. Beste Voraussetzungen, um als Praktikantin oder Praktikant bei uns richtig durchzustarten. Deine Aufgaben: Damit wir unsere Services künftig noch individueller gestalten können, dreht sich im Tribe „Customer Interaction“ alles darum, die Wünsche & Vorstellungen unserer Kunden zu antizipieren.

Senior Cloud Architect | Data & Analytics - Germany/DACH at DoiT International (Berlin, Germany)

As a Cloud Engineer (Data), you will guide customers on how to ingest, store, process, analyze and explore/visualize data on the Google Cloud. You will work on data migrations and transformational tasks, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. In this role you are the engineer working with our most strategic Google Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more.

Data Architect (m/w/d) mit Cloud-Erfahrung at Digitec Galaxus AG (Zürich, Schweiz)

Wir sind ein starkes Team Für die Weiterentwicklung unserer verteilten Cloud-Architektur suchen wir einen erfahrenen Data Architect mit viel Drive der gerne an den komplett selbst entwickelten Webshops, und mitwirken möchte. Dein Engagement hat einen Impact auf mehr als 1 Mio. Kunden in der Schweiz und Deutschland. Data Architect (m/w/d) mit Cloud-Erfahrung Pensum: 80-100% Abteilung: Product Development Standort: Zürich Deine Aufgaben Du verantwortest die Architektur und die Lösungsansätze der Data Engineering Plattform-Dienste und bist Leader und Ansprechperson für Data Engineering Themen.

Data Engineer at Wincasa AG (Zürich, Switzerland)

Wincasa, der führende Schweizer Immobilien-Dienstleister, bietet mittels eines flächendeckenden Standortnetzes ein ganzheitliches Dienstleistungsportfolio von der Planung über den Bau und die Bewirtschaftung, bis hin zur Revitalisierung und Repositionierung an. Die Cloud Information Factory bildet die zentrale analytische Plattform der Wincasa. Die Factory umfasst das zentrale Data Warehouse, die zentrale BI-Plattform und den Data Lake. Als Teil unseres wachsenden Delivery Teams am Standort Zürich suchen wir einen interessierten und engagierten Solution Architect (m/w/d)

Data Architect in Asset Management at Cognizant Technology Solutions AG (Zürich, Switzerland)

Data Architect in Asset Management Location: Switzerland, Zürich This position demands a strong Architectural background on Data Analysis and experience on End-to-End large Enterprise level Project Delivery and Business Development in Asset Management. As a Data Architect, you are supposed to perform the following tasks: Technical Competencies - Data Architecture and Data Analysis Data Warehouse (NoSQL) setup and ETL implementation using MarkLogic DataHub Framework using XQuery module, Optic API , Rest API, Reporting and Performance Optimization, RDF Triples.

IT-Praktikant (m/w/d) Big Data Summer Internship Programme at ING-DiBa AG (Nürnberg, Deutschland)

Du machst nächstes Jahr Deinen Masterabschluss und möchtest anschließend direkt im Beruf durchstarten? Dann werde Teil unseres Summer Internship Programme und erhalte spannende Einblicke in die ING – inkl. Verantwortung in Projekten und im Alltagsgeschäft. Als Teil einer fachbereichsübergreifenden „Summer Intern Class“ bekommst Du durch Knowledge Sessions und Networking Events wertvolle Insights und bist auch beim Social Day dabei. Klingt gut? Dann bewirb Dich und komm zur ING – vom 1.

Data Architect - Big Data at trivago N.V (Düsseldorf, Germany)

Are you passionate about creatively using technology, and both learning new things, as well as going deep into the technologies you use? Do you like the challenge of working with big data systems, operating at a very large scale of data? Our data engineering team is looking for a skilled data architect and -engineer, who is an expert on systems level and can help define, build and optimize our core analytics and data science data structures.

Datawarehouse Analyst / Data Engineer at Cembra Money Bank (Zürich, Switzerland)

<ul> <li>Drive the BI &amp; data component of Bank-wide transformation and business projects </li> <li>Manage the timelines, dependencies and resources of the projects assigned</li> <li>Perform data functional analysis, analyze data business requirements</li> <li>Datawarehouse (DWH) design, data modelling, ETL design and development</li> <li>Definition and implementation of Key Performance Indicators</li> <li>Transform raw data into smart data and meaningful insights</li> <li>Participate actively in the definition of the Road map and future of BI &amp; DWH in the Bank</li> <li>Identify opportunities to optimize and automate data processes across the Bank</li> <li>Ensure the availability, integrity and quality of the data in the DWH</li> <li>Work closely with business, IT and offshore production support and development teams</li> </ul>

Senior Machine Learning & Computer Vision Engineer (80-100%) at uniqFEED AG (Opfikon, Switzerland)

Your duties / core responsibilities Prototyping new machine learning algorithms and tuning existing ones.Increasing robustness of vision algorithms to illumination, shadows, atmospheric effects.Learning visual appearance over time.Evaluating new requirements and implementing new features.Finding and optimizing performance bottlenecks.Collaborating with testing and operations teams to ensure good usability and high reliability of our end-to-end system.Your benefits A dynamic, fast-growing environment with many possibilities for further development.A highly motivated, interdisciplinary, multi-cultural team with focus and vision.

Data Scientist 80-100% (f/m/d) at Ringier AG (Zürich, Switzerland)

BenefitsWork in a lean, agile and highly motivated teamBesides the default social benefits, we offer a number of additional perksAn attractive workplace in Zurich SeefeldWe offer you computing power to develop your hobby projectsRole and ResponsibilitiesYou work with various datasets from different Ringier companies in different business divisions across publishing and marketplaces and in different regions across continentsYou choose, improve, and apply various methods from statistics, machine and deep learning technologies in order to solve business problemsYou model the data of our users, their interests and online behavior in order to serve the business demands, and enable the future business modelsYou work closely with our data engineering team and other cross-functional teams to develop prototypes for cross-portfolio use cases, and support the deployment of your models or algorithms into the cloud-native production environmentYou communicate and visualize the value of data by describing the findings or the way how techniques work to both technical and non-technical audiencesYou keep following closely research and engineering developments, like TensorFlow, Torch and Amazon Sagemaker, roll in the relevant technologies and methodologies to keep our modern technology landscape up to dateEducation and ExperienceYou have a degree (MS, Ph.

SAP Inhouse Consultant (m/f/d) Master Data at Covestro Deutschland AG (Leverkusen, Deutschland)

The CFO (Chief Financial Officer) Community manages Covestro’s financial processes. It is also responsible for providing legal services and IT solutions to the company as a whole. As SAP Consultant (m/f/d) Master Data you are responsible for the technical design and implementation of “state of the art” IT solutions for master data management.  These are your tasks in detail: You advise the specialist department of master data management and take over the management of our external service providers in all IT technical aspectsAs part of the technical change management, you will act as the responsible Implementation Manager (m/f/d) and will be responsible for SAP transport management and system integrity within the Master Data ModuleThey continuously identify potential for improvement with regard to the stability and performance of operational applicationsWhat you offer:

Full Stack Developer & Data Engineer (m/w/d) at Lotum GmbH (Frankfurt am Main, Deutschland)

Please note: Fluency in German is mandatory for this position. Du möchtest gerne mit Leuten zusammenarbeiten, die wissen wovon sie sprechen? Du hast keine Lust mehr auf Office-Politik und möchtest lieber produktive Gespräche über die Weiterentwicklung deiner Produkte und deines Teams führen? Du möchtest Teil eines Teams von Menschen werden, die großartige Produkte bauen statt große Töne zu spucken? Bei Lotum konzipieren, entwickeln und betreiben wir Mobile Games für iOS, Android und die Facebook-Plattform.

Tech Lead DWH/BI at sustainable mobility Start-up at (München, Germany)

Join finn to make mobility fun & sustainable.  Play a key role to fulfill our mission to build the most popular mobility provider in the world. We launched, in 2019 offering an all-inclusive car-subscription in Europe. Objectives At finn we create software that will manage thousands of vehicles and customers on a daily basis. You have the chance to join this team early on and work independently on our product. If your coding skills are known around the globe, and you love to contribute your ideas and engineering skills to a growing company in the heart of Munich then apply now.

Shopping Data Quality Evaluator/Analyst at RM IT Professional Resources AG (Zürich, Switzerland)

Shopping Data Quality Evaluator/Analyst vacancy for a globally operating Zurich based company in the technology sector. Your experience/skills: Good web research and analytical skills to collect, organize and analyse significant amount of information with attention to detailsSufficient knowledge in SQL database management, as well as the ability to handle big data with SQL statements Relevant working experience as a quality operations analyst in e-commerce sector is an advantage University degree or being currently enrolled in a university is a plusLanguages: English, fluent in written and spoken; other languages are a plusYour tasks:

Data Engineer 100%_Python/Data Engineering/Big Data at ITech Consult AG (Zürich, Switzerland)

Data Engineer 100%_Python/Data Engineering/Big Data Project: For our client based in Zurich we are looking Data Engineer with 100% workload and this project is for 6 months with possible extension. Roles and Responsibilities:• Technical data engineer for Data & Analytics platform based on Kubernetes and Hadoop• Involved in Design and Implementation of data architecture relevant topics across the common part of the data platform• Determines structural requirements and architecture for structural changes• Implementation of the requirements and Data & Analytics platform• Strive to identify re-use potential across different data platform consumers• Key resource for data onboarding & implementation tasks incl.

Data Warehouse Engineer (m/f/d) at GEDANKENtanken GmbH (Köln, Deutschland)

WHO WE ARE Dream it, own it, grow it. We live and breathe these core values in everything we do here at GEDANKENtanken. Committed to further revolutionizing the world of personal and professional development, we offer unique, high-quality, online and offline platforms with training, support and events for everyone who wants to take themselves to the next level. GEDANKENtankler are a unique group of professionals, digital natives and passionates that love to learn and are hungry to grow.

Machine Learning Engineer (f/m/d) at Volkswagen Commercial Vehicles (Hannover, Deutschland)

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.

Data Engineer (f/m/d) at Volkswagen Commercial Vehicles (Hannover, Deutschland)

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.