As an Engineering Lead team at Zalando Payments you and your team build and operate production grade machine learning systems, focused on supervised learning, which have a profound impact on our business.
WHERE YOUR EXPERTISE IS NEEDED
Lead others through complex, distributed systems, and understand the principles of highly available, scalable, maintainable and performant servicesEncourage individuals to grow their skills and capabilities through discovering and following their passion and purposeFacilitate collaboration and decision-making between different engineering teams and stakeholders and drive projects towards the realization of company goals.
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
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
As part of our DevOps team, you will make a significant contribution to the renewal and further development of our applications. These are used to store and provide market data for the SIX Financial Information Division. Mastering the constantly increasing volume of data from the global financial markets poses a particular challenge to the high-performance mass storage of price data.
In addition to your knowledge of front-end technologies, you will create applications for visualizing and maintaining historical price data.
Gemeinsam zukunftsweisende Lösungen für die Wirtschaftswelt von morgen entwickeln: Das ist das Ziel unserer 10.000 Kolleginnen und Kollegen an deutschlandweit 20 Standorten. Mit unseren innovativen Dienstleistungen in der Wirtschaftsprüfung, Steuerberatung, Transaktions- und Managementberatung führen wir unsere Mandanten in die Zukunft. In unseren Advisory Services sind Sie in der Management- und Unternehmensberatung tätig. Entfalten Sie bei uns in interdisziplinären und multikulturellen Teams Ihre individuellen Fähigkeiten!Aufgaben, die Sie voranbringen
Im Bereich Advisory- Risk Transformation haben wir uns unter anderem auf die Prüfung und Beratung von Energieversorgern und Stadtwerken spezialisiert.
Wir suchen Sie als
Data Science Engineer
Um die hohe Innovationskraft unserer Portale in den Bereichen Redaktion, Vermarktung und Usability zu stärken, greifen wir zukünftig noch stärker auf die großen Datenbestände zurück, die im Betrieb unserer Portale generiert werden. Dazu planen wir den Aufbau einer Content & Customer Plattform.
Ihre Aufgaben:
Mit Ihrem Fachwissen arbeiten Sie eng mit unserm Data Science Team zusammen und konzipieren und entwickeln eine state-of-the-art Plattform.Sie bewerten, entwickeln und verwalten Data Analytics Anwendungen und Kundenlösungen im Kontext IoT und anderen technischen DomänenDie Vorbereitung und Analyse von Daten, Entwicklung von Algorithmen, Konzeption von Lösungen in Kooperation mit unseren Domänen-Experten und Big Data-Engineers fällt in Ihren AufgabenbereichIhnen obliegt die explorative Analyse strukturierter und unstrukturierter Daten sowie die Ableitung von Entscheidungsgrundlagen für unsere Kunden im jeweiligen ProjektumfeldSie entwickeln neue Data Science Anwendungsfälle gemäß Kunden- und Projektanforderung zur Gewinnung neuer ErkenntnisseSie übernehmen die ….
Data Scientist / Data Mining Senior Consultant (m/w) mit Fokus Advanced Analytics
in München
Deine Mission:
Du bist Data Scientist, stehst als Young Professional am Beginn deiner Karriere und hast bereits bei verschiedenen Projekten erste relevante Berufserfahrung sammeln können? Du fragst dich, warum viele Auswertungen noch manuell durchgeführt werden? Du hast Spaß am Analysieren von Daten, am Schreiben von kleineren Programmen oder Ausprobieren neuer Data Science Tools wie z.B. TensorFlow, möchtest aber nicht als reiner Software-/ETL-Entwickler wahrgenommen werden?
Market research is the original data driven business. Incubated and spun-off from a university, we have earned the trust of the world´s biggest companies and leading brands - for more than 80 years. Today, everything at GfK starts and ends with Data and Science
We are proud of our heritage – and our future: Currently we’re on a transformational journey from a traditional market research company to a trusted provider of prescriptive data analytics powered by cutting edge technology.
You and your role
We’re looking for a generally nice and smart person to join our development and research team in Berlin.
You have an academic background in machine learning.You’ve implemented different algorithms yourself and know which toolboxes offer well written variants of them.You already know a bit about Natural Language Processing (NLP) or are quite keen on learning it.You know the difference between software developed as a tool for your research, and software developed for use in production by customers.
Sr. Java Developer (f/m) (IoT data platform)Powered by Berlin-based company builder Next Big Thing AG, Evertrace GmbH is a new startup at the intersection of supply chain and cutting-edge tech (blockchain & IoT). Our vision is to eliminate frustrating information silos and time-consuming, manual work during supply chain management; instead, were creating a simple and safe way to exchange data in real-time between involved parties. By providing a single platform for all participants of the logistics process - cargo owners, freight forwarders, brokers, insurers - Evertrace enables accessible data & real-time documentation.
This role sits within the Data- and Tech-organisation and directly partners with Data Scientists and Product Managers to help create valuable products for our users.
We’re looking for a highly skilled engineer, who is passionate about turning data into valuable product for our customers.
Your Responsibilities: Successfully partner with Data Scientists to build advanced services and architecture to provide scalable data products for a high-traffic web platform Successfully partner with system operators to design data generation and provisioning architectures.
FlixBus – A place to enjoy work and have an impact
To support our ambitious growth, we are now looking for Data Engineers (M/F/X) for our Network Planning Domain in Munich, Germany starting as soon as possible.
Your Tasks – Paint the world green
You will be part of a self-organized, cross-functional team owning the network planning web application and will hence directly contribute to the success of the core business.The mission of the team is to work on a tailor-made planning software, which enables the user to create high-quality schedules that are demand-oriented and cost-efficient.
Akelius buys, upgrades and manages residential properties. The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States.
We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.
ABOUT THE TEAM Department: Supply & Demand Reports to: VP Pricing & Forecasting Team Size: <10 Recruiter: Almog Greenberg, almog.greenberg@zalando.de
As a Data Science Lead for Pricing & Forecasting, you will be responsible for the all data science aspects in some of Zalando’s most critical products. You will build first-class machine learning products that forecast the demand for the 300k+ items that we offer our customers. Using your excellent research skills, you will try to better predict our order cancellation rates and foresee our order return rates.
Bei uns arbeitest du als Teil eines cross-funktionalen Scrum-Teams eng mit EntwicklernInnen und dem Business zusammen. Du unterstützt aktiv und eigenverantwortlich das Qualitätsmanagement deines Teams. Du hast Spaß daran, Wissen und geeignete Vorgehensweisen rund um das Thema Qualität in deinem Team zu etablieren. Qualität wird bei uns im ganzen Story-Lifecycle beachtet, das heißt, du hast Interesse an Konzeption und Story-Entwicklung mitzuwirken. Tests können während der gesamten Implementierung durchgeführt werden und sind nicht nachgelagert.
Agile Software-Entwicklung mit Java und / oder speziell Big Data Entwicklung auf Hadoop Integration von großvolumigen Datenquellen (Clickstream, AdServer, etc.) mit Hilfe von ETL/ELT Werkzeugen wie z.B. Talend Weiterentwicklung und Ausbau definierter big data, high traffic und high availability Use Cases Entwicklung und Umsetzung von Design Patterns im klassischen und / oder im Big Data Umfeld Modellierung und Implementierung komplexer Data Integration Patterns im klassischen und / oder Big Data Umfeld Konzeption und Entwicklung von Software-Komponenten, gerne auch als Fullstack BI Entwickler Implementierung von Platform APIs (WebServices; REST, SOAP) Research zu aktuellen Trends im Bereich Agile BI, Big Data und Software Tools & Methoden Link: https://www.
We are offering you a challenging role as a Senior Data Engineer (f/m) contributing directly to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated algorithms for environment perception, situation analysis and driving strategy selection.
In your role you will contribute your ideas and knowledge in designing and implementing solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models as well as for functional validation.
Your job – performs as smoothly as our cars:
You will be responsible for designing, implementing and operating our analytical data layer on the cloud.You are responsible for designing, implementing and operating end-to-end distributed systems on the cloud.You will be working on automating our event stream pipeline and data workload to a data layer that serves all analytical demands in the company.You will assist other engineers on designing the right data models to meet the requirements for both operational and analytical purposes.
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:
Was Dich erwartet:
Im Zuge des Aufbaus einer neuen BI Landschaft übernimmst Du die Rolle des IT Product OwnersAls zentraler Ansprechpartner für unsere Fachbereiche hast Du den Überblick nicht nur über unsere komplette BI Infrastruktur, sondern auch über die neuesten BI Technologien auf dem MarktUnterstützt durch unsere BI Teams entwickelst Du unsere BI Platform mit unserem Enterprise Data Warehouse, der Big Data Platform und den Real-Time-Analytics Lösungen in einem agilen Umfeld kontinuierlich weiterAuch für die Konzeption, Umsetzung sowie Koordination anschließender Tests bist Du mitverantwortlichWas Du mitbringen solltest: