Our Data Solutions team forms an essential link between our business and infrastructure teams: it defines and implements business processes in data pipelines, monitors existing services and thereby provides the best service to our customers. As a Data Engineer in our Data Solutions team you will be working on a broad set of real-world problems of large scale that have a direct and significant business impact. In close collaboration with our business analysts and software engineers you will create high-performance data processing solutions that scale using emerging technologies and approaches and help us define new best practices.

Wir suchen ab sofort Mitarbeiter als Java Entwickler (m/w) Ref.-Nr.: 3091 Ihre Aufgaben: – Full-Stack-Java-Programmierung - Erstellung und technische Bewer­tung von SW-Ent­wick­lungs­kon­zepten - Sammlung und Konsolidierung von Anwen­der­an­for­de­run­gen in Bezug auf Benut­zer­freund­lich­keit und Daten­qua­li­tät der ein­ge­setz­ten Tools - Unterstützung bei der Über­wa­chung der ein­ge­setz­ten Tools hin­sicht­lich Ver­füg­bar­keit und Per­for­mance - Umsetzung der Entwick­lungs­kon­zepte für Ver­fah­ren, Tools und Schnitt­stellen - Programmierung und Auswertung von Daten­banken - Betrieb und Pflege der einge­setz­ten Tools, Re­lease Up­dates, Doku­men­tation

DaWanda is the leading German online marketplace for handmade and unique products. We are looking for passionate and skilled people to join our software development team. We are an international and diverse group and we strongly support the Ruby community. Furthermore we work with agile methodologies. Our technological stack is service-oriented, mostly based on Ruby (Rails and Sinatra), but we also use other languages for special purposes (Java, Go). We manage our own fleet of servers, deploying our services inside Docker containers.

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 manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

Everybody says that knowing your customers is key… How do we do this in Delivery Hero?  After ordering many times with Lieferheld, last month your order got cancelled. You got disappointed and have never ordered again.  Today you receive a funny notification in your phone, giving you a great deal on your favorite restaurant, so you decide to take advantage of it and give Lieferheld a second chance. Hopefully this time the experience will be great and you will consider ordering again.

Sie werden Teil unseres sehr engagierten und kollaborativen Advanced-Analytics-Teams und beschäftigen sich mit spannenden Projekten aus allen Branchen. Wir arbeiten eng mit Klienten und Content-Experten zusammen, um Analytics-Lösungen, -Expertise und -Fähigkeiten in die Organisation unserer Klienten einzubetten. Durch die Kombination von strategischen und Business Insights mit den neuesten analytischen Techniken helfen wir unseren Klienten, aus Daten maximalen Nutzen zu ziehen und kritische Probleme datengetrieben zu lösen. Ihre Aufgabe: Sie entwickeln als Spezialist mit Hilfe von Advanced-Analytics-Methoden Lösungen für die herausfordernden Problemstellungen unserer Klienten – von der Konzeption über die Modellbildung bis zur Übergabe in die Implementierung.

Assess business operations and processes to identify inefficiencies in procedures, information flows and handoffs, decisions, communications pathways and ways in which systems supporting these can be enhanced. Create, design, and format technical specifications including descriptive text, process flows, and other information needed to describe required system changes for development, QA, and other units; serve on project team accomplishing these functions. Provide support to applications in production by tracking production problems and troubleshooting them to sustain application in production.

View job and apply on the corporate career site here. Tasks: Exploring, understanding, and implementing data processing and machine learning pipelines using state of the art tools and frameworksAssessing and improving the precision, performance, and scalability of data processing and machine learning pipelinesEnsuring and sustaining production quality through continuous deployment, evaluation, and refinementRequirements: Master’s degree in Computer Science, Mathematics, Statistics or related fieldAt least 2 years of experience building Machine Learning-based productsAt least 2 years of experience in Python developmentExperience developing data processing and machine learning pipelines in Python using scikit-learn or deep learning toolkitsAbility to write well-abstracted, reusable, production grade code componentsExcellent written and communication skills in EnglishView job and apply on the corporate career site here.

THE ROLE We are looking for a passionate Software Engineer to join us! Our Team is focused in developing a Cloud-based product that revolutionize the Field Service world by using a mixed Crowd Service approach. The ideal candidate should bring a positive, independent, can-do attitude coupled with a proven track record as well as a drive to develop innovative solutions in any part of the technology stack.  We are looking forward to your personal “core moments”

Mach mit bei uns  Große Datenmengen sind deine Leidenschaft und alles, was mit Big Data zu tun hat, findest du spannend? Prima, wir auch! Zur Verstärkung unseres Big Data Teams suchen wir motivierte und selbstständige Kolleginnen und Kollegen, die Lust haben, mit uns die technologische Zukunft aktiv mit zu gestalten: Du konntest bereits erste Erfahrungen im Hadoop Umfeld sammeln und kennst die Komponenten des EcosystemsIm Umgang mit Linux bist du fit und ggf.

Zalon is the successful story of curated shopping experience, part of Zalando SE. Being part of Europe’s Leading Technology Fashion Platform, we live and breathe excellent data and software engineering. As a Senior Data Scientist at Zalon, you will be at the heart of business, data and technology; your work having an immediate impact on customer satisfaction and company profitability. As part of our empowering technology culture - Radically Agile - you will have the autonomy to develop innovative and complex algorithms for novel use-cases from scratch, while leveraging our rich data, spread across a large range of topics.

View job and apply on the corporate career site here. Tasks include: Push the frontiers of what is possible in the area of Machine Learning working with real dataExplore, understand, and implement most recent machine learning algorithms and approachesFulfill both functional and non-functional (availability, throughput, latency) requirementsCreate excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinementCommunicate the relevance of implemented systems and achieved results in a visual and consistent wayRequired skills & qualifications:

What you can expect We are a dynamic and openminded IT team with system administrators, software developers, data scientists and data analysts with a full DevOps-oriented working style mindset. Our goal is to ensure, through continuous optimization, high standards of quality. In this role, you’ll collaboratively work with software developers to deploy, debug and operate our systems, automating and optimizing our operations and processes as much as possible. You will build and maintain tools for deployment, monitoring and operations.

Sixt is a leading mobility provider offering premium service in over 100 countries. Since the beginning technology has been an integral part of our business. Our Engineers are responsible for designing, building and running the applications making up the core of our mobility ecosystem. They are versatile technologists who have a lot of experience up and down the stack and are comfortable tuning the Linux kernel, automating cloud infrastructure, writing resilient and high-performance code or scaling large distributed systems.

Principal Software Engineer - Reality Index HERE Technologies, the Open Location Platform company, enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, we empower our customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely. To learn more about HERE, including our new generation of cloud-based location platform services, visit http://360.

As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As [insert job title], you’re part of a high performing team, building technologies that connect every part of the fashion industry. We live Radical Agility, a methodology built on trust and backed by an architecture that lets us move fast while keeping complexity low. Open Source and InnerSource development is integral to our engineering practices and culture, supported at every level.

Your responsibilities: In this role, you will be leading a team of 3 – 5 data science engineers and closely collaborate with our Data Science Expert while choosing appropriate technologies and developing our automated data science solutions. Manage, maintain and prioritize the product backlog with a focus on delivering solutions against business goals and technical requirementsDevelop use cases and requirements, write detailed feature specifications, create mock-ups and present to Product/Engineering leadershipOrganize and lead team planning meetings and provide advice, clarification and guidance during the execution of sprintsCommunicate between all stakeholders (data science experts, customers, UX design, sales, marketing, consulting, lead developers, product management) and present technical product conceptsRequirements/Qualifications:

Your responsibilities: In this role, you will be leading a team of 3 – 5 data science engineers and closely collaborate with our Data Science Expert while choosing appropriate technologies and developing our automated data science solutions. Manage, maintain and prioritize the product backlog with a focus on delivering solutions against business goals and technical requirementsDevelop use cases and requirements, write detailed feature specifications, create mock-ups and present to Product/Engineering leadershipOrganize and lead team planning meetings and provide advice, clarification and guidance during the execution of sprintsCommunicate between all stakeholders (data science experts, customers, UX design, sales, marketing, consulting, lead developers, product management) and present technical product conceptsRequirements/Qualifications:

We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. Senior Data Engineer (m/f) YOUR TASKS AND RESPONSIBILITIES The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.

We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. Senior Data Scientist (m/f) YOUR TASKS AND RESPONSIBILITIES The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.