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?

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.

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

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.

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man. This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed. Would you like to work on a variety of tasks, take over responsibilities and gain strong insights into an E-Commerce company, all of this in a diverse and international team?

The Role: We are looking for a full-time data engineer. You will be at the core of making people’s data work for them. You will design and maintain the ETL data pipeline—from pulling and parsing data from various APIs and downloaded data stores to populating normalized RDBs and calculating cached views (usually in a NoSQL form) to power our various data products and services. While you are not constrained in your tools, our current stack involves Python, js/node, PostgreSQL, Airflow, AWS Lambda and hosting.

Responsibilities Development of state-of-the-art machine learning algorithms to support the analysis of digital pathology imagesIntegrate algorithms into Definiens productsDevelop high quality software applicationsOptimize performance and quality of existing software componentsQualifications & Skills Degree in software engineering, computer sciences, mathematics, physics, bioinformatics or comparable degree3+ years of experience working with Python and related technologiesExperience in solving image and data analysis problems using machine learning, Random Forest and Deep Learning (e.g. TensorFlow, PyTorch etc.

The Role Zattoo is the leading player in the TV-as-a-Service space in Europe serving several million TV users and dozens of B2B customers helping them watch what they want, where they want, when they want. For our B2B Engineering team we are looking for a Full-Stack Engineer who is keen on gaining an in-depth understanding of the technical landscape of Zattoo. Your focus will be the Bridge, an interface between Zattoo and our customers that provides crucial tools for managing an ever growing multi tenant environment within our company.

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.

The product: A containerized data science environment Our ambition is to create a platform that gives data scientists a flexible, consistent, and simple environment based on Docker containers, where their code can be written in a large variety of languages (Python, R, Go, Scala). This tool then turns their code into stateless functions that can be easily deployed into powerful data pipelines. The stack Kubernetes, OpenFaas, Docker The challenge Having great DevOps engineering support is crucial in order to guarantee that our micro-service based platform runs smoothly and reliably, no matter where it is deployed (we support cloud and on-premise deployments).

SENIOR DATA SCIENTIST – MACHINE LEARNING EXPERT Start: As soon as possible Location: Zürich, 100% THE FELFEL TECHNOLOGY TEAM & YOUR IMPACT FELFEL is a Start-up based in Zürich, Switzerland. The company has revolutionized how people eat at work with its intelligent technology or ‘the FELFEL fridge’. The company is among the fastest growing start-ups in Switzerland with over 60 employees. FELFEL’s technology team, of 7 engineers, has built the heart of FELFEL’s product and is responsible for the company’s success as a leading European foodtech company.

About the job As a Data Engineer at HelloFresh, you will be collaborating to build a robust and highly performant data platform using cutting-edge technologies. You will develop distributed services that process data in batch and real-time with focus on scalability, data quality and business requirements. You will have the opportunity to work on challenging data related problems, like: Design and build a world-class self-service data platformTaking end-to-end responsibility for design, build and maintenance of batch and real-time data pipelines.

Data is core to everything we do at PriceHubble. We rely on a wide variety of data from multiple sources. As a data scraper, your mission will be to source, capture and extract new datasets that help us develop cutting edge valuation and forecasting tools for the real estate market. Responsibilities: Identify and analyse new data sourcesAccess new data with whatever strategy is suitable, e.g. write web-scraping and parsing scripts,…Create new datasets and integrate them in top shape into the data pipelineDefine and implement data acquisition strategiesRequirements:

As a data engineer, your mission will be 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. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.