Your Responsibilities: Deliver value to our clients in all phases of the project life cycleConvert specifications to detailed instructions and logical steps followed by their implementationBuild program code, test and deploy to various environments (Cloudera, Hortonworks, etc.)Enjoy being challenged and solve complex data problems on a daily basisBe part of our newly formed team in Berlin and help driving its culture and work attitudeJob Requirements Strong experience developing software using Java or comparable languages (e.
We are offering you an interesting and challenging role as a Big Data Engineer (f/m) contributing directly to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated algorithms for environment perception, situation analysis and driving strategy selection. As a Senior Big Data Engineer (f/m) you will contribute your ideas and knowledge in designing and implementing solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models as well as for functional validation.
Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. Our data is directly integrated on Google Maps, hotels.
We are Visual Meta, a successful and steadily growing web company, founded in 2009 and acquired by the Axel Springer Group in 2011. Operating from a great office in central Berlin, we run 14 online shopping portals worldwide under the brands LadenZeile, ShopAlike and UmSóLugar. We offer the professionalism of a big player and the company culture of a startup. During the last years, we have been building a strong, international team.
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.
Your Job: Become an essential part of our highly-qualified data science team for innovative projects and R&DTake responsibility for the development of smart analytics solutions for our marketing department and live operationsApply modern machine learning techniques to generate predictions with a direct business impactMentor more junior team membersHave a real impact on how we further develop our data-driven business operationsCollaborate closely with our data warehouse engineersYour Profile: At least five years’ professional experience in applying statistics/data mining/machine learning methods in data science projectsProfessional experience in deploying analytics solutions in a production environmentHands-on experience of conducting analysis on structured and semi-structured dataExtensive experience with SQL and noSQL databases, such as HPE Vertica or Google BigQueryPractical experience with R and Python and familiarity with data aggregation, visualization, and machine learning libraries, e.
To strengthen our international team in Berlin, we are offering a full-time position as Engineering Lead, Data Platform (m/f) Crealytics is a fast-growing technology company whose data-driven platform enables global e-commerce retailers to drive performance in product advertising and paid search. Our innovative products support our clients by automating their workflow and generating valuable intelligence. Crealytics is generating € 3 billion in annual client revenue for top internet retailers such as Footlocker, ASOS, and Harrods, enabled by 170 employees in our Berlin, London, Passau, and New York City offices.
data Artisans is currently building a new team of Solution Architects in Europe and the US. You’ll be part of a new and fast-growing team helping customers having a great experience using our products and Apache Flink. The role will sit at the forefront of one of the most significant paradigm shifts in information processing and real-time architectures in recent history - stream processing - which sets the foundation to transform companies and industries for the on-demand services era.
Our Marketplace team is looking for a Team Lead to help them successfully reach all their Data Science goals! Marketplace’s core responsibilities are: Creating a delightful & consistent experience for users who search for the best rate.Enabling our advertisers to run superior marketing campaigns.Monetizing our product at the highest efficiency.What you’ll do: Establish a vision for the team, and cooperate with your Product Owner on Roadmaps to realise that vision.Create better and smarter algorithms, independently, and with your team.
Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of Internet of Things.
We want to grow our successful German business and therefore we are looking for a Senior Data Scientist (m/f) based in Berlin, Germany. Your tasks You analyze our data and prototype demand forecasting and customer behavior models You use statistical models to answer real-life questions like You answer questions such as “How many people will travel from Berlin to Munich during Octoberfest?”, “What are the effects of price changes?”, “What will be the new trending vacation destinations next summer?
At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. We’re now active and growing in 9 different countries in 3 continents. Our story started in Berlin.
Your profile: We are looking for an experienced and passionate Data Engineer (m/f) to join our BI team in Berlin. As Data Engineer (m/f) you will help us to design and implement a modern streaming framework. At Pepper.com, we rely on data to drive our business decisions and to guide us in our search to build the best user experience. That’s why our BI team plays a central role in our data-driven strategy, designing and developing our infrastructure, processes and analytics capabilities.
Gestalten Sie gemeinsam mit uns die digitale Zukunft und sorgen Sie dafür, dass Innovationen sicher sind! TÜV SÜD begleitet mit weltweit 24.000 klugen Köpfen seit 150 Jahren High-Tech-Entwicklungen und Innovationen: vom Dampfkessel bis zum autonomen Fahren. Mit Ihrem Expertenwissen stärken Sie TÜV SÜD in der Weiterentwicklung bestehender und neuer Geschäftsfelder. Wir freuen uns auf Ihre Bewerbung am Standort München als Data Engineer (w/m) im Bereich Data Analytics AufgabenKonzeption und Umsetzung (Rapid Prototyping) skalierbarer Architekturen für State-of-the-Art Big Data-AnwendungsfälleUmsetzung komplexer ETL-/ELT-Prozesse auf Basis aktueller Big Data-TechnologienAustausch mit Projektteams interner und externer Kunden zur AnforderungsanalyseUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists sowie Data ArchitectsPerformance-Optimierungen und Skalierbarkeitsanalysen für Analytics Use Cases nahe der Echtzeit und im BatchDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusVerantwortung für Konfiguration, Management und Betrieb der Rapid Prototyping-Umgebungen, einschließlich der Datenbank- und Storage-UmgebungenVerfolgung von Trends im Analytics- und Big Data- Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation
As Data Warehouse Engineer (m/f) in Online Gaming you will take a key role in the ongoing development, maintenance and architectural evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for collecting, processing and providing data in accordance with decisive business requirements. You join a supportive team of specialists in a pragmatic environment, with short communication processes and flat hierarchies, perfect for developing your skills and competencies and having a high impact on our business results.
As Data Warehouse Architect (m/f) you will take a key role in the evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for driving its implementation in accordance with decisive business requirements. Your Job: You will take control of the present data warehouse solution and be in charge of designing, validating and implementing improvements to the system architectureYou will make sure the system is reliably capable of handling large volumes of data and fulfill the necessary analytical processing load, while keeping maintenance efforts at bayYou keep an eye on providing robust, easy to use solutions, which allow efficient day-to-day operations by yourself and your team members, regarding system maintenance as well as the implementation of ETL pipelines and business reportsYou will be conceiving and implementing ETL jobs, integrating and aggregating data from many disparate internal and external sources, advancing data quality and consistencyYou will be in direct contact with stakeholders and analysts from business departments and game studios, understanding their business requirements and translating them into technical solutionsYour Profile:
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.
Making an impact that matters. Unser Anspruch ist, jeden Tag das zu tun, was wirklich zählt. Mit unserem breiten Leistungsspektrum – von Audit über Tax & Legal bis Financial Advisory und Consulting – unterstützen wir Kunden auf einzigartige Weise. Wir setzen neue Maßstäbe, liefern innovative Denkansätze und ermöglichen nachhaltiges Wachstum. Wir fördern unsere hochqualifizierten Mitarbeiter mit ihren verschiedensten Talenten, sodass sie mit uns mehr erreichen. In unserem Deloitte Analytics Institute arbeiten wir in einem cross-funktionalen Expertenteam mit Kooperationspartnern aus Forschung und Wissenschaft sowie führenden Vendoren an innovativen und maßgeschneiderten Analytics-Lösungen für unsere namhaften Kunden.
Um den Erfolg und das weitere Wachstum von STEADFORCE mitzugestalten, sowie die digitale Transformation in Deutschland zu begleiten, suchen wir ab sofort einen Senior Big Data Entwickler (m/w) Dein Aufgabengebiet Du entwickelst anspruchsvolle Anwendungen unter Verwendung von z.B. Hadoop und Spark.Gekonnt integrierst Du verschiedene Datenquellen und -typen.Du bist zuständig für das Design, die Konzeption und Architektur von Informationsplattformen und integrierst Big Data Technologien in existierende Infrastrukturen.Aus großen Datenmengen gewinnst Du Informationen – logische, technische und fachliche Zusammenhänge – und präsentierst anschaulich Deine Ergebnisse.
This is who we need: You extract, analyse and communicate reports and statistics for our business teams and partnersYou transform recurring analyses into KPIs we can easily monitorYou set up the tracking of our ad campaigns, so we all can optimise them daily or even in real-timeYou monitor the user flow from acquisition to monetisation and find new ways to maximise margin thereFrom business bird’s-eye-perspective you simplify processes, making them more transparent on the wayYou automate recurring manual processesThis is who you are: