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.

Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als Big Data Engineer (m/w/d) Ihre Aufgaben:Sie sind verantwortlich für Design, Implementierung und Betrieb von effektiven Data Processing Architekturen innerhalb unserer innovativen Microservices- und Cloud-basierten Data Analytics, IIoT und DigitallösungenIngestion, Integration, Organization, Batch und Stream Processing, Lifecycle Management der DatenSichern der Qualität, Integrität und Privacy der DatenSetup, Monitoring und Tuning der Hadoop Cluster und Datenbanken, you build it you run itEnge Zusammenarbeit in agilen Teams mit Data Scientists, Entwicklungsteams und Product Ownern in der Datenmodellierung, Datenanalyse und TechnologieberatungIhr Profil:

About the job The Big Data Developer works on our SaaS platform, and brings passionate inquisitiveness, primary research, and forward thinking to every assignment. Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds software to pass automated acceptance tests and to deliver sprint commitments. You can expect a very international team of Developers who are based in Hamburg.

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.

Software Engineer - Big Data Development Hamburg, Germany Full-Time Join our agile, cross-functional development team to push forward our Big Data ambitions, using the Hadoop ecosystem and technologies like MapReduce, Flink, Hive and Kafka. You will design and implement systems in a distributed environment to prepare, provide and analyze huge amounts of data. Your mission: Real- and near-time processing of our more than 1,500,000,000 daily game eventsPreparing very large amounts of data (ETL) as a basis for further processing in other systems (e.

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 your new job: As a Data Engineer in our Business Processes & Intelligence team you will work on all parts of the engine driving the operations and data analytics within Allthings, particularly the data flows in and out of our core database. Your understanding of our product data structure will make you the go to person for our data scientists and user engagement specialists, and together you will engineer brilliant solutions that bring the company forward.

WERDEN SIE TEIL DES REWE SYSTEMS ENTWICKLUNGSTEAMS! Wir entwickeln effiziente IT-Systeme für das Handelsumfeld, lösen Herausforderungen mit innovativen Technologien und optimieren die bestehende Anwendungslandschaft der REWE Group. Zukunft und Standard treffen sich bei uns – jeden Tag. Sie widmen sich gerne ganzheitlich herausfordernden IT-Projekten, Sie sind an neuen Technologien und Trends interessiert, Sie haben Freude an agiler und klassischer Teamarbeit und möchten die Ergebnisse Ihrer Arbeit im echten Leben verfolgen können?

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.

(Senior) Software Engineer – Data Products Berlin    With 1.6 million vehicles and 7.29 million unique users per month, mobile.de is Germany’s biggest vehicle marketplace online. The mobile.de GmbH employs 300 coworkers, including 120 engineers. The company is located in Kleinmachnow-Dreilinden closed to Berlin-Wannsee and near Potsdam. It is a part of the eBay Classifieds Group.   This is an exciting opportunity to work on a new, innovative product and we are looking for you as a (Senior) Software Engineer - Data Products (f/m).

Data Engineer (m/w/d) | future demand | Jetzt Bewerben Zur Unterstützung bei der Weiterentwicklung suchen wir zum nächstmöglichen Zeitpunkt am Standort Berlin einen motivierten und engagierten Data Engineer (m/w/d). Ihre Aufgaben Sie sind verantwortlich für eine skalierbare Infrastruktur zwecks der Analyse großer Datenmengen unter Verwendung von Data-Mining, Predictive-Analytics und Machine-Learning.Sie binden Daten aus verschiedensten Quellen in die Analyseprozesse ein und arbeiten dabei eng mit den Data Scientisten des Teams zusammen.Sie stellen die Datenqualität entlang der gesamten Kette der Datenverarbeitung sicher.

SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies. Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly.

Are you passionate about creatively using technology? Do you want the chance to work with databases operating at 1012 scale? Our Hadoop development team is looking for a skilled developer and expert on systems level who can help build and maintain our big data architecture. We want someone who can not only use but also build a complex Hadoop cluster and data pipeline infrastructure. Interested? Apply today! What you’ll do:

We are offering you an exciting role as a software engineer (f/m) in the field of machine learning. Join one of our agile features teams to develop sophisticated algorithms for autonomous driving. Contribute to the autonomous vehicle being able to orient itself, assess situations and select the most appropriate and comfortable driving strategy – even in urban environments. Use your expertise to participate actively in all development phases from prototyping in Python, using state-of-art machine learning frameworks and ROS, to writing C++ code that runs in the final production vehicles.