Posts List

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)

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 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.

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.

Senior Backend Engineer Machine Learning (f/m/x) at Zenjob (Berlin, Germany)

Our goal @Zenjob is to match people with work that interests them by giving them the freedom to decide when and where they want to work through automation and digitalization. We focus on this effort by working in value streams with engineers embedded directly into cross-functional teams. As a Senior Backend Engineer for Machine Learning, your main objective is to identify the relevant information we need and provide methods to use this knowledge to provide the best possible experience for our customers.

Data Scientist (m/f/d) at PrestaCap Services (Berlin, Germany)

Whom we are looking for: Excellent understanding of machine learning techniques and algorithmsExperience with common data-science toolkits, such as Pandas, NumPy, etc Experience with data visualization tools, such as D3.js, GGplot, etcExperience with SQL or/and NoSQL databasesExperience with scripting and programming languages  such as Python, R, etc Good applied statistics skills, such as distributions, statistical testing, regression, etcAt lest a bachelor degree in Computer Science, Data ScienceKnowledge in financial services industry such as Banking, FinTech, etc is a plusKnowledge in Azure cloud services is a plusAt least 2 years of relevant professional experienceYou will be responsible for:

Data Wrangler / Curator (m/f/d) at Definiens (München, Germany)

Main Duties and Requirements  Data capture, data cleansing, and data enrichment as a preparation step for bioinformatician/image analysis activitiesTrack the flow of data within ETL (extract, transform, load) and analysis pipelines, ensuring successful processing and data validityGeneration consolidation and re-formatting of image analysis readout tables resulting from different formats (csv., JSON etc.)Work together with bioinformaticians/ data scientists/image analysis specialists to identify optimal ways to prepare, curate and navigate their datasetsAutomating the way we currently capture data to save time, reduce errors and create high-quality datasetsDeveloping and applying FAIR data principlesWork with bioinformaticians/data scientist and data management teams to develop best practices in data wrangling/curation and storage experimental metadataWork with the software and information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets and resultsRequirements

Data Analytics Team Lead at the leading data-driven travel Advertising platform! at travel audience GmbH (Berlin, Germany)

As a part of Strategic Growth Businesses (SGB) unit of Amadeus, Travel Audience is the world’s leading data-driven travel advertising platform. The business unit harnesses the power of cutting edge machine learning practices to connect the leading performance-oriented advertisers with the biggest network of publishers, reaching millions of travellers. The strategy is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners reach, relevance and booking volumes.

Data Engineer (m/f/d) at SPRING | Axel Springer (Berlin, Germany)

We’re looking for a Data Engineer to continuously develop our platform to democratize our data. If you enjoy moving, merging or cleaning up to peta-bytes of data by utilizing Data Warehousing and Data Lake methods at its best this is your place to be. You should be experienced and have done similar work elsewhere. We deeply believe in a DevOps culture which means you will be responsible for your code and tools from development to operation.

Game Data Analyst (f/m/d) at Kolibri Games (Berlin, Germany)

Are you the kind of person who wonders what kind of people play idle games? Are you the kind of person who - through an unbiased lens - wants to figure out not only what people do but try to understand why they do it? And can you take that knowledge and transform it into action points that are easy to understand and make the game more fun, rewarding, and engaging to play?

Data Engineer (m/f) (SQL, Python, R, Java) at RIAG DIGITAL (Wien, Austria)

The Analytics Team As a special unit within RIAG Digital, we bundle the technological development of all analytics activities and support our stakeholders in designing their digital agenda. Within our dedicated data team, you work on a basis for our new data infrastructure and are responsible for the technical feasibility of projects. We also encourage your collaboration with other teammates through mentoring, interactive learning and technical exchange. THE TASK Planning, development and implementation of an optimal data architecture on the Google platform to provide a high-quality basis for use cases in the field of analytics and machine learningCooperation with analysts, product managers and backend developers to understand and implement data requirementsSupport in designing and creating new data extraction, transformation and loading processes from different data sourcesUse and ensure state-of-the-art methods (CI/CD) to provide a future-proof and scalable platformMINIMUM QUALIFICATIONS

Data Warehouse Engineer / ETL Developer (m/w/d) at Senacor Technologies AG (München, Deutschland)

Du möchtest Daten in Wissen verwandeln? Senacor bietet den passenden Einstieg in die professionelle ETL-Entwicklung. Als Data Warehouse Engineer (m/w/d) entwickelst du für unsere Kunden maßgeschneiderte Lösungen für die Datentransformation und -integration und stellst gleichzeitig die Qualität und Konsistenz der Datenbestände sicher. Statt in Silos zu denken hast du das große Ganze im Blick und sorgst dafür, dass unsere Kunden eine ganzheitliche Sicht auf all ihre Daten haben. Deine Aufgaben

Senior Product Intelligence Analyst (m/f/d) - Munich, Germany at Westwing Home & Living (München, Deutschland)

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1 million active customers in 11 countries. In only 9 years on the market, we have grown to more than 267 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.

Technischer Projektleiter DWH/BI at Wincasa AG (Zürich, Switzerland)

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 Technischer Projektleiter DWH/BI (m/w/d) Deine Aufgaben Management von IT-Projekten unter Berücksichtigung der Unternehmensstrategie Analyse, Gestaltung, Implementierung und Umsetzung von DWH/BI-Lösungen in direkter Zusammenarbeit mit den Geschäftsbereichen und Kunden Weiterentwicklung der Cloud Information Factory (BI- und Analytics-Lösung) auf Basis neuester Technologien/Services von Microsoft (PaaS, Azure) Interdisziplinäre Konzeption von zusätzlichen Komponenten (zur Prozesssteuerung, Freigabe, Datenqualität) Erstellung und Pflege von Standards und Guidelines Erhebung, Beurteilung und Spezifikation von firmeninternen und externen Anforderungen (Analytics, Reporting, Schnittstellen) Datenübernahme von neuen Kunden und Mandaten Coaching und Mentoring des Data Engineering Feature-Teams  Dein Profil

Machine Learning Specialist (m/f/d) at riskmethods (München, Germany)

riskmethods was recognized as a 2019 Top Employer to Work! Build trustworthy relationships with stakeholders and drive the automation and digitalization of processes forward! For our Munich office, we are looking for an aspiring and motivated team player as our new Machine Learning Specialist (m/f/d). What will you do: You will play a crucial role in our future development as a company. In particular we intend to grow our efforts in supporting our Risk Intelligence service – finding web/social media documents about the companies we monitor and rate them based on their content – and in making use of the network structure inherent in our domain for all areas of predictive risk scoring and event impact analysis.

Business Data Scientist (w/m/d) Machine Learning at Siemens AG (Munich, Germany)

Wissen für die Welt von morgen. Wir entwickeln Netzwerke, die unsere Städte schlauer mit Licht und Wärme versorgen. Und unterstützen die NASA bei der Erkundung des Weltalls. Dafür und für viele weitere Zukunftsprojekte brauchen wir kluge Köpfe, die mit Können, Kreativität und Engagement dabei sind. Menschen wie Sie! Erfahrene Forscher und mutige Grenzenerweiterer, echte Spezialisten und clevere Dingen-auf-den-Grund-Geher. Kurz: Helfen Sie uns dabei, die spannendsten Herausforderungen gemeinsam anzugehen und umzusetzen, worauf es ankommt.

Data Engineer (100%) m/w at SOBACO Solutions AG (Schlieren, Switzerland)

Als Mitglied des Teams Development entwickeln und warten Sie Produkte und Services für den Banken- und Finanzbereich. Zum Aufgabengebiet gehört die Analyse, die Konzeption, die Realisierung, Test und Dokumentation sowie die Einführung und Wartung von Produkten, Services, Schnittstellen und Reports in PL/SQL und T-SQL. Ihre Aufgaben Weiterentwicklung resp. Entwicklung von neuen Produkten und Services für das SOBACO DWH entlang der ProduktentwicklungsstrategieEntwicklung von komplexen Anforderungen in Oracle PL/SQL - von der Anforderungsanalyse bis zum Testen und der Überführung der Software in die ProduktionWeiterentwicklung, Optimierung und Wartung von bestehenden Schnittstellen und ReportsDatenbankanalyse und Datenmodellierung (Oracle, MS SQL)Unterstützen der Business Consultants und des Betriebs in der Problemfindung, Problemlösung und ParametrierungWas Sie mitbringen

Data Scientist (f/m/diverse) at Eurowings Digital GmbH (Köln, Deutschland)

Why only watch when you can be part of it? Europe’s smartest travel platform does not develop by itself. In order to achieve our highly ambitious goals, we are looking for clever minds, trouble-shooters, implementers and communication talents. With more than 40 million annual customers worldwide, Eurowings is one of the leading airlines in the European market. Eurowings Digital is a subsidiary of Eurowings Aviation and transforms the Eurowings brand from an airline to a holistic, digital travel companion for the entire travel chain.