At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.  Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

Are you looking for an internship in Zurich for a minimum of 6 months? We’d love to get to know you! 1plusX’s mission is to place marketing messages where they have the most impact. We think pinpointed targeting is the key to online marketing success. That’s why we designed a platform to create data insights in order to make online business measurably more successful. 1plusX software ingests data and learns from it in order to make predictions on how customers and future customers behave online.

Your area of responsibility will focus entirely on Big Data and Analytics platforms:  Selection of technologies for the implementation of Data Analytics Use CasesFurther development and evolution of data pipelines on cluster architecturesVisualization of data for various application purposesAssessment of data quality and possible data cleansingOperationalization of models and results for use or automation.We start the Data Journey of our customers. You think your CV Journey fits to our needs? Find out: Completed degree in computer science, data science or equivalentAt least two years of professional experience as software engineer, software developer, data engineer or similarVery good knowledge of the programming language Scala or JavaProfound knowledge and experience in dealing with Hadoop ecosystemsVery good written and spoken German skillsAt least 50 % willingness to travelData is moving us!

About the Demand Prediction Team In virtually every part of our products we rely on using data to invent and improve. You will work in a highly skilled cross functional team of Data Engineers, Data Analysts, and Data Scientists responsible for turning data into knowledge needed for our success. Your team estimates on future demand and enables the teams around shift planning, pricing, fleet supply, routing and others to make MOIA successful.

emetriq ist ein Anbieter für datengetriebene Online-Advertising-Lösungen und Teil der Deutschen Telekom AG. Wir bieten unseren Kunden innovative Lösungen auf Basis von komplett inhouse entwickelter, geballter Daten- und Technologie-kompetenz. Kurz gesagt: Wir sorgen dafür, dass Online-Werbung relevanter und präziser wird.  Wie Du uns helfen kannst: Du hilfst uns, in den Bereichen Machine Learning, Data Mining und Natural Language Processing nicht nur up-to-date zu sein, sondern auch vorauszudenken.Du bewegst Dich in unserem stetig wachsenden Datenpool und nutzt dabei Tools wie Jupyter, SQL und Python, um reproduzierbare, aussagekräftige Analysen zu erstellen und Reports aufzubereiten.

What you will do:To further drive our growth, we are looking for a creative and committed Full-Stack Engineer with a distinct sense for Big Data Applications. You love to pair with other developers, and you take proud in delivering high quality software. In this position, you will support our Data Processing Team in creating data intensive real-time applications: You accompany the full development lifecycle from specification to release and maintenanceWith passion and creativity, you develop high performing data processing applicationsYou think from the customers’ perspective and challenge APIs and system architectureThe assets you bring to the team:Your ability to learn fast and adapt quickly in an agile environment complement your technical expertiseProficiency in Java & Javascript and Spring Boot and experience in Scala and PlayPractical experience in Scrum or Kanban and DevOps mindsetJenkins, Jira, Bash and Git is where you’re generally fitWe offer:Prospect: We are a continuously growing team with experts in the most future-oriented fields of customer intelligence.

Within Zalando’s Digital Foundation unit you are going to work in the core of Zalando’s data infrastructure. Your work will focus on the implementation of the data transformation architecture that is going to become the backbone of the analytical data platform at Zalando. WHERE YOUR EXPERTISE IS NEEDED Work within Zalando’s central data team that is responsible for mission-critical services for the whole Zalando groupDesign and build the service that will serve analysts, data engineers and machine learning pipelines all over ZalandoBuild the Zalando Spark platformHelp migrate the existing data pipelines to the next levelWHAT WE’RE LOOKING FOR 

1plusX’s mission is to place marketing messages where they have the most impact. We think pinpointed targeting is the key to online marketing success. That’s why we designed a platform to create data insights in order to make online business measurably more successful. 1plusX software ingests data and learns from it in order to make predictions on how customers and future customers behave online.  We are looking for outstanding people! Are you an ambitious and energetic team player?

You’ll join the Performance Measurement Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activities. Find out how we do this here.Support our data scientists in productionizing machine learning pipelines on AWS.

Within Zalando’s Digital Foundation unit you are going to work in the core of Zalando’s data infrastructure. Your work will focus on the implementation of the data transformation architecture that is going to become the backbone of the analytical data platform at Zalando. WHERE YOUR EXPERTISE IS NEEDED Work within Zalando’s central data team that is responsible for mission-critical services for the whole Zalando groupDesign and build the service that will serve analysts, data engineers and machine learning pipelines all over ZalandoBuild the Zalando Spark platformHelp migrate the existing data pipelines to the next levelWHAT WE’RE LOOKING FOR 

YOUR TASKS: Help internal clients with pragmatic strategic & ad-hoc data requirementsWork closely with data scientists and engineers to build personalized experiences for our usersDrive research initiatives to innovate and support our data driven approachPerform data extraction, aggregation from multiple sources, including Google Analytics / GoogleBigQueryCreate confidence in our data by tests, automation, monitoring and neat visualizationsYOUR PROFILE: You are eager to learn new technologiesYou are able to transform solutions into code (Scala is a plus)SQL Basic skillsDevops mindset is a plusClear understanding of Map/Reduce paradigm.

Für unser junges Big Data Team suchen wir Verstärkung! Entwickeln Sie gemeinsam mit uns die neue Tchibo „leading edge“ BI-/Big-Data-Architektur weiter! Durch moderne Open-Source-Software und skalierender Cloud-Infrastruktur arbeiten Sie in diesem jungen Bereich an einem Realtime-fähigen Event Data Lake. Auf dieser Basis werden leistungsfähige und hochverfügbare „Data Services“ wie z.B. neue Self-Service BI Portale, Realtime-Scorings oder Machine Learning Modell mit unseren Data Scientists sowie den Fachbereichen entwickelt. Von der Anbindung von Datenquellen mit strukturierten/unstrukturierten Daten, über die Datenintegration und der Bereitstellung einer Machine Learning Infrastruktur für unsere Data Scientists, bis hin zu unseren Analyse-Tools und -Frontends entwickeln wir hoch performante Daten-Pipelines und Streaming-Architekturen.

If you are an architect that enjoys designing distributed applications for large-scale clusters and strives to create high quality code - we have just the right challenges for you! Self-motivation and results orientated internal drive as well as problem solving mentality would fit in perfectly within our team.  At Ultra Tendency you would: Solve Big Data problems for our customers throughout the project life cycleLead a development team and ensure high quality standards and best practicesWork with our customers to identify requirements and design applications according to their needsDocument architectural decisions and implement them together with the rest of the development teamIdeally you have:

Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.

Weshalb zuschauen, wenn man auch mitgestalten kann? In unserem ING Analytics Hub arbeiten 15 hochqualifizierte Köpfe an interdisziplinären Analytics-Projekten und verwandeln Fin in Tech. Sie schätzen internationalen Austausch auf höchstem Niveau, denken begeistert vor und quer und lieben es, Ihr Wissen produktiv weiterzugeben? Jump on. Ihre Aufgaben Software Development, Machine Learning, Spark & Big Data – das sind die Themen, in die Sie sich eingraben, in denen Sie Trends & Technologien nicht nur konsequent verfolgen, sondern auch im Team lancieren.

We are looking for a skilled Software Engineer to join the Platform Foundation team of the Open Location Platform (OLP). The Challenge We are dealing with: durable and versioned map of whole Earth with road topology and thousands of different kinds of attributes fast changing volatile datasets like traffic and weather and streams of different kind including car sensors data and many more The problem is to store, index, analyze and connect them together in the same making it easily available for our users.

Your playing field Your mission is to drive the work of our “Artificial Intelligence Lab”, thriving for the highest possible quality in document extractionYou translate our company wide goals into an overall AI tech strategy, providing focus & directionYou support agile processes to coordinate and prioritise the tasks of the AI teamYou lead and mentor the AI team, motivating your coworkers to deliver high quality workYou act as an input-giver that also assist operatively, if necessaryYou will actively support the growth of the AI Team and help us find the brightest tech talentYour profile

We are looking for a motivated Data Engineer (m/f/x) joining our team of enthusiastic system engineers. Our data infrastructure is currently handling more than 10.000 requests per second and processing more than 1 TB of data each hour. Your main focus will be harvesting cloud- and container technologies including queueing, streams, distributed systems and data infrastructure.   As an expert for clean code, design patterns and software engineering best practices, you will help your colleagues to further build our data infrastructure.

Moin! Wir sind das IT-Team von uptain, bestehend aus einer Frontend- und einer Backend- Entwicklerin, sowie einem Head of IT. uptain ist ein wachsendes Software-Start-Up aus dem schönen Hamburg. Wir entwickeln innovative Lösungen für die Rückgewinnung von Kaufabbrechern für Online-Shops. Wir haben uns in den letzten zwei Jahren zu einem der am häufigsten genutzten Kaufabbrecher-Tools im deutschsprachigen Raum entwickelt. Wir sind Venture Capital finanziert und arbeiten mit Kunden wie myRobotcenter, Ankerkraut und 11Freunde zusammen.

ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.