Please note, remote work is only available if you are based in Germany. Your tasks Create and develop a scalable cloud-based data platform in order to support stakeholders, such as management, marketing, sales and quantitative researchShape an AWS based stream and batch processing solution, ingesting data from 3rd party, as well as internal backend servicesEnsure we collect all data required to execute on the company’s missionBuild interactive dashboards and reporting solutionsBe a contact person for business intelligence questions, delivering actionable insights and recommendationsWhat we offer

Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. travel audience harnesses the power of home-grown tech, combined with cutting-edge machine learning practices to connect the leading performance-oriented travel brands with the biggest network of publishers, reaching Billions of travelers globally. Our aim is to optimize advertising across the entire traveler journey, identify and create new audiences, and increase our partners’ reach, relevance, and booking volumes.

Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. travel audience harnesses the power of home-grown tech, combined with cutting-edge machine learning practices to connect the leading performance-oriented travel brands with the biggest network of publishers, reaching Billions of travelers globally. Our aim is to optimize advertising across the entire traveler journey, identify and create new audiences, and increase our partners’ reach, relevance, and booking volumes.

Job description As a part of Amadeus, travel audience unit 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. travel audience is looking for a (Senior) Data Analyst to join our Data Tribe.

YOUR MISSION Have ownership over the data warehousing and data harvesting pipelineDiscover and acquire additional data sets for Machine Translation through researching open or closed source data, and/or web crawlingImprove data pipelining in the Machine Translation teamEnsure data and model scalabilityYOUR RESPONSIBILITIES Design and implement scalable data processes (think terabytes of text) for data storing, versioning and documentingDevelop automatic data harvesting services for monolingual and bilingual textual data Architect, develop and maintain data web services for consuming the harvested dataBuild and automate data preprocessing pipelines for the training of Machine Translation modelsIntroduce data pipelining solutions to the data preprocessing needs using technologie like Airflow, Luigi, similarWork day-to-day with researchers to improve data collection processesPrepare data for Machine Translation model trainingYOUR PROFILE

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.

rheindata berät namhafte Kunden, vor allem aus dem Rheinland, bei der Konzeption und Implementierung analytischer Systeme auf Basis aktueller Technologien. Wir sind ein kleines, bürokratiefreies Unternehmen, dessen Entwicklung Du aktiv mitgestalten kannst. Das sind deine Aufgaben: Als Big Data Engineer (m/w/d) führst du zusammen mit Teams von namhaften Kunden komplexe Lösungen und Technologiekomponenten basierend auf dem Big Data stack ein. Mit einer eigenverantwortlichen, strukturierten Arbeitsweise entwickelst du zusammen mit Business Analysten Lösungen auf Kundensysteme, basierend auf abgestimmte, individuelle Anforderungen.

ABOUT THE TEAM Department:  Offprice - Finance Reports to: Lead of Finance Technology Team Size: <10 The purpose of the role is to enable Finance Technology teams through the creation and maintenance of a data pipeline to perform data integration at scale. This role will be responsible for the set up of data connections, creation of required airflow workflows and operators, and managing of data between Zalando API’s, Redshift and application databases.

Department: Merchant Operations Reports to: Team Lead Strategy Development Team Size: >10 The purpose of the role is to enable Merchant Operations teams through the creation and maintenance of a data pipeline to perform data integration at scale, as well as the maintenance of our historical and near real-time data warehouse. WHERE YOUR EXPERTISE IS NEEDED You are experienced in building, evaluating, maintaining and improving large-scale data-driven productsCreate and maintain a flexible high-performance data processing and integration pipeline at scale, providing high quality datasets for our internal users and applications.

Department: Merchant Operations Reports to: Team Lead Strategy Development Team Size: >10 The purpose of the role is to enable Merchant Operations teams through the creation and maintenance of a data pipeline to perform data integration at scale, as well as the maintenance of our historical and near real-time data warehouse. WHERE YOUR EXPERTISE IS NEEDED You are experienced in building, evaluating, maintaining and improving large-scale data-driven productsCreate and maintain a flexible high-performance data processing and integration pipeline at scale, providing high quality datasets for our internal users and applications.

You love large data volumes and are enthusiastic about the technology-driven optimisation of shop logic? Then you are at the right place as a Machine Learning Engineer (f/m/d) at real.digital Your tasks – this is what awaits you in detail You will closely cooperate with our data engineers and business stakeholders to realise machine learning projects from initiation to endYou will choose emerging technologies and approaches to create high-performance machine Learning processing solutions and other data driven applications that scaleImplementation and development of data pipeline, algorithms, and data stores for a pioneering cloud-based big data applicationChallenging our status quo and helping us define best practices for how we workYour profile – this is what we expect from you

Our Data Solutions team forms an essential link between our business and infrastructure teams: it defines and implements business processes in data pipelines, monitors existing services and thereby provides the best service to our customers. As a Data Engineer in our Data Solutions team you will be working on a broad set of real-world problems of large scale that have a direct and significant business impact. In close collaboration with our business analysts and software engineers you will create high-performance data processing solutions that scale using emerging technologies and approaches and help us define new best practices.