Als Senior Software-Entwickler (m/w/*) mit Schwerpunkt Big-Data-Technologien besetzt du eine Schlüsselposition in unserer Abteilung Data Management & Analytics. Mit deinen Entwickler-Skills entwirfst du PoCs für analytische Plattformen, ETL-Strecken und Datenanbindungen und überführst sie anschließend in den Produktivbetrieb. Deine Linux-Kenntnisse erlauben es dir, die meist Hadoop-basierten Systeme effizient zu nutzen und dank deiner analytischen Motivation weißt du genau, wie du Data Scientists durch effektive Datenaufbereitung unterstützen kannst.  So versetzt du dein Team mit deinem Verständnis von effizienten Analytics-Frameworks in die Lage, performant auf sehr großen Datenmengen zu arbeiten und diese gewinnbringend nutzbar zu machen.

At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.  Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.

XING provides advice and support to its more than 14 million members during the upheaval processes in the world of work. In an environment marked by a shortage of skilled workers, digitalization, and changes in values, XING helps its members achieve as harmonious a work/life balance as possible: For a better working life. Our Data Science team is responsible for turning data into services and products for XING. Around 25 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users.

Become the Sherlock Holmes of the web and help our clients to detect the fraudsters among their customers. In this never ending race, we are fighting the bad guys with technology! As a Data Engineer (m/f/d) at RISK IDENT, you will be working in one of our (FRIDA) product teams. You will help to develop the machine learning backend services for our products, written mainly in Scala. Based on a scalable platform for real-time data processing, insights and models are turned into the production code that forms the backbone of our fraud prevention solutions.

As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.

What you can expect in this role As Big Data Architect you are responsible for the evolution of our big data platform landscape, based on technologies like Spark and ExasolLeading a team of experts, you will answer the design of our data integration framework (written in Scala) which is used by several teams of developersTaking care of nonfunctional requirements you will contribute to the outstanding end user experience of our solution platformYou will have the creative leeway to explore new possibilities brought about by technology to make the best use of our media data.

Für unser junges Big Data Team suchen wir Verstärkung! Entwickeln Sie gemeinsam mit uns die neue Tchibo „leading edge“ BI-/Big-Data-Architektur weiter! Durch moderne Open-Source-Software und skalierender Cloud-Infrastruktur arbeiten Sie in diesem jungen Bereich an einem Realtime-fähigen Event Data Lake. Auf dieser Basis werden leistungsfähige und hochverfügbare „Data Services“ wie z.B. neue Self-Service BI Portale, Realtime-Scorings oder Machine Learning Modell mit unseren Data Scientists sowie den Fachbereichen entwickelt. Von der Anbindung von Datenquellen mit strukturierten/unstrukturierten Daten, über die Datenintegration und der Bereitstellung einer Machine Learning Infrastruktur für unsere Data Scientists, bis hin zu unseren Analyse-Tools und -Frontends entwickeln wir hoch performante Daten-Pipelines und Streaming-Architekturen.

For KI labs we are looking for data engineers at mid-senior levels of experience (and also working students), to join our rapidly growing data team in Munich as part-time or full-time employees. Your Responsibilities Design, build, and scale data products, and deploy them on public and private clouds, e.g. Amazon AWS, Google Cloud or Microsoft Azure;Enable and facilitate a data-driven culture for internal and external clients, and use advanced data pipelines to generate insight where to go;Support Cloud Engineers and Data Scientists with architecting and orchestrating data infrastructures;Support Software Development teams with Data, e.

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

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 ….

To strengthen our international team in Berlin, we are offering a full-time position as     Senior Data Engineer (m/f) Retailers face unique challenges - we support them with technology-led solutions.  Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Urban Outfitters). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.

To strengthen our international team in Berlin, we are offering a full-time position as     Engineering Manager, Data (m/f) Retailers face unique challenges - we support them with technology-led solutions.  Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Harrods). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.

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.

What you can expect in this role In a dynamic Scrum team you implement user stories on our Data platform (Spark, Exasol, Tableau)You are developing a data integration framework in Scala, which is used by several development teamsYou will also work with business experts to design new data solutionsThe automation of development and quality assurance processes in the project is also in your area of responsibilityYour essential experience and education

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.

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:

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.