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 900,000 customers in 11 countries. In only 8 years on the market, we have grown to more than 254 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.

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 900,000 customers in 11 countries. In only 7 years on the market, we have grown to more than 220 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.

Your role Data engineers are the central productive force of PriceHubble. As a Lead data engineer, your mission will be to lead our Data Engineers across the 3 offices and to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features.

DU HAST EIN GESPÜR FÜR DIE NEUESTEN TRENDS UND SETZT BEIM PROGRAMMIEREN AUF DIE NEUESTEN TECHNOLOGIEN? DICH BEGEISTERT DIE INNOVATIONSKRAFT VON GOOGLE UND MÖCHTEST DAMIT DEN ERFOLG UNSERER KUNDEN ENTWICKELN? Ebenso wie wir setzt Du neben den neuesten Technologien auf exzellente Qualität und weißt daher um die Vorteile des Einsatzes der Atlassian-Produktpalette zur Sicherung hochwertigen Codes? Möchtest Du die Chance nutzen, mit uns anspruchsvolle Software zum Leben zu erwecken? Als Software Engineer Java & Machine Learning (m/w/d) an einem unserer Standorte in Düsseldorf oder Berlin arbeitest Du mit über 380 anderen Digital-Spezialisten daran, innovative Applikationen für unsere Kunden zu realisieren.

About SumUp Sumup is a successful and fast growing company that operates in many countries and empowers merchants to accept card payments in an easy and convenient way and wake up the entrepreneur within anyone. At the beginning of 2018 we were named the fastest growing company in Europe and we won’t stop there. Already we operate in over 30 countries, with new countries added every year on our path to become the first global card acceptance company in the world.

What’s the role? As a Data Engineer in Services Strategy and Innovation, you help us create new data-driven services. You are equally involved in exploring and unlocking our data sources and in building the server-side applications to turn these insights into products. Your activities include: Exploration of datasets for business-relevant content or patterns Visualizing and communicating your findings and how they can contribute to a product Setting up pipelines to automate extraction of discovered patterns Prototyping and implementing REST APIs Who are you?

Your Tasks – Paint the world green Holistic cloud-based infrastructure automationDistributed data processing clusters as well as data streaming platforms based on Kafka, Flink and SparkMicroservice platforms based on DockerDevelopment infrastructure and QA automationContinuous Integration/Delivery/DeploymentYour Profile – Ready to hop on board Experience in building and operating complex infrastructureExpert-level: Linux, System AdministrationExperience with Cloud Services, Expert-Level with either AWS or GCP  Experience server and operation-system-level virtualization is a strong plus, in particular practical experience with Docker and cluster technologies like Kubernetes, AWS ECS, OpenShiftMindset: “Automate Everything”, “Infrastructure as Code”, “Pipelines as Code”, “Everything as Code”Hands-on experience with “Infrastructure as Code” tools: TerraForm, CloudFormation, PackerExperience with a provisioning / configuration management tools (Ansible, Chef, Puppet, Salt)Experience designing, building and integrating systems for instrumentation, metrics/log collection, and monitoring: CloudWatch, Prometheus, Grafana, DataDog, ELKAt least basic knowledge in designing and implementing Service Level AgreementsSolid knowledge of Network and general Security EngineeringAt least basic experience with systems and approaches for Test, Build and Deployment automation (CI/CD): Jenkins, TravisCI, BambooAt least basic hands-on DBA experience, experience with data backup and recoveryExperience with JVM-based build automation is a plus: Maven, Gradle, Nexus, JFrog Artifactory Link: https://www.

Your Tasks – Paint the world green Holistic cloud-based infrastructure automationDistributed data processing clusters as well as data streaming platforms based on Kafka, Flink and SparkMicroservice platforms based on DockerDevelopment infrastructure and QA automationContinuous Integration/Delivery/DeploymentYour Profile – Ready to hop on board Experience in building and operating complex infrastructureExpert-level: Linux, System AdministrationExperience with Cloud Services, Expert-Level with either AWS or GCP  Experience server and operation-system-level virtualization is a strong plus, in particular practical experience with Docker and cluster technologies like Kubernetes, AWS ECS, OpenShiftMindset: “Automate Everything”, “Infrastructure as Code”, “Pipelines as Code”, “Everything as Code”Hands-on experience with “Infrastructure as Code” tools: TerraForm, CloudFormation, PackerExperience with a provisioning / configuration management tools (Ansible, Chef, Puppet, Salt)Experience designing, building and integrating systems for instrumentation, metrics/log collection, and monitoring: CloudWatch, Prometheus, Grafana, DataDog, ELKAt least basic knowledge in designing and implementing Service Level AgreementsSolid knowledge of Network and general Security EngineeringAt least basic experience with systems and approaches for Test, Build and Deployment automation (CI/CD): Jenkins, TravisCI, BambooAt least basic hands-on DBA experience, experience with data backup and recoveryExperience with JVM-based build automation is a plus: Maven, Gradle, Nexus, JFrog Artifactory Link: https://www.

To support our ambitious growth, we are now looking for a Data Scientist (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

To support our ambitious growth, we are now looking for a Data Engineer (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board

These tasks are waiting for you: Be the professional lead for our data team Obtain actionable business-oriented insights from processed IoT data Identify and explore opportunities to apply machine learning algorithms and guide their development from initial testing to their final user-facing application Communicate and collaborate with the digital marketing, business development and product development teams in a high pace environment Processing and aggregation of terabytes of raw near real time/real time IoT data Maintenance, expansion, and optimization of existing data pipelines (ETL/ELT)Qualifications:

What’s the role? The Services Strategy & Innovation team helps bring innovative products to life. We’re a team of around 20 engineers, designers, product managers and strategists, fully equipped to drive an idea from inception through prototyping and business validation to release. You would work in our cross-functional R&D team which combines expertise in core topics (data engineering, data science, map visualization, application development) with a passion for diving into new technologies like AR, 3D, or drone navigation.

Wir suchen Dich als (Senior) Consultant (w/m) Data Science & Artificial Intelligence Als Developer für Data Science und Artificial Intelligence bei MHP entwickelst Du Strategien, Lösungen und Produkte basierend auf den neusten Technologien und beeinflusst somit wie zukünftig Menschen forschen, arbeiten, analysieren und miteinander kommunizieren – mit unseren Themen begeistern wir andere! Du erkennst Chancen und wagst es auch mal alternative, neue Wege zu gehen, ohne das Ziel aus den Augen zu verlieren.

You have a first-class degree in computer science, physics, or mathematics. There is nothing better for you than to write code in GNU/Linux every day. You “speak” Go, Kotlin, Java or JavaScript fluently but you are also interested in C++, Machine Learning and functional programming languages such as Common Lisp, Clojure, and Haskell. You like to solve difficult problems. You want to work in small teams together with other smart human beings.

You have a first-class degree in computer science, physics, or mathematics. There is nothing better for you than to write code in GNU/Linux every day. You “speak” Java, Kotlin, Go or JavaScript fluently but you are also interested in C++, Machine Learning and functional programming languages such as Common Lisp, Clojure, and Haskell. You like to solve difficult problems. You want to work in small teams together with other smart human beings.

ABOUT THE TEAM Department: Personalized Marketing Reports to: Data Engineering Lead Team Size: 5-10  Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de You’ll join the Data 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 activitiesBuild applications and services to integrate data from internal and external sources, especially to ensure a better cross-device recognition of customers or to increase the tracking data quality, an essential source for our marketing campaign performance measurementClose collaboration with our product managers to define realistic roadmaps and products that will be successful in productionSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionWHAT WE’RE LOOKING FOR

Are you passionate about food, data and intelligent applications?  Delivery Hero is building the next generation global online food-delivery platform, with data at the center of delivering amazing food experiences.  We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.

ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs. WHERE YOUR EXPERTISE IS NEEDED Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR

Join our Identity team and help improve trivago user’s experience through ensuring coverage, quality and accuracy of accommodation content & advertiser matching. We are looking for someone who is interested in leveraging machine learning techniques to help ensure continual improvements in our complex matching process. In addition, you will drive the definition of consolidation algorithms amalgamating and ranking data from multiple big-data sources.     You will work in a cross-functional team to create and optimize a matching and content consolidation service.

Your mission : As Data Privacy and Software Security Engineer member of the LCA1 Lab, you will contribute in developing technology standards and best practices for protecting genomic and health data and services consistent with the Global Alliance for Genomics and Health (GA4GH) policy framework. You will have two main responsibilities: contribute to ongoing software developments and provide direct support to the leaders of the Data Security Work Stream at the GA4GH.