The BMW Car IT GmbH is a software R&D unit of the BMW Group and offers a position as Systems and Data Engineer (f/m) in our Data-Intensive Software and Analytics (DISA) team in Munich. In this role, you will support our DISA team in research and pre-development in the field of scalable systems and data science. The team’s mission is to find optimal solutions to data-intensive problems of our future products, services, and data-driven in-house processes in close collaboration with internal customers and partners across all units of the BMW Group.
concept & development of the system landscape and implementation of BI processesanalysis & formalisation of user requirementsapplication of explorative methods for pattern detection, context determination and anomaly identificationestablishment of (OLAP) data structures and interfacing between internal IT, external service providers and the departments in all BI issuesPHP & mySQL Knowledgecreation of dashboards and reportsfunctional testingtraining measures (in-house) Link: https://www.aohostels.com/en/career/ao-jobs/
YOU SELL. WE DELIVER. We are Seven Senders. Our product revolutionizes cross-border e-commerce in Europe. We enable online shops to ship to customers abroad 30% cheaper and twice as fast. In order to accomplish this task, we are managing the physical flow of goods and organize all required logistics processes. Technology is the key enabler of our business model, ranging from transport management systems, analytics for shipment processes to track and trace solutions for customer parcels.
Scout24 Insights and Analytics is a diverse team of data experts that unlocks business value in product development, marketing and customer experience by enabling self-service of data and information and providing deep business insights. We are looking for a Data Engineer who is excited about building scalable data flows and bringing innovative new ideas on information discovery to live. What you will do at Scout24: Build and maintain scalable, high performing data-processing workflows with a focus on extensibility.
As a Machine Learning Engineer (m/f) at plista you will work on the optimization of our self-developed recommender technology that is used by publishers around the world to recommend news articles and ads to their users. This includes the analysis of large-scale datasets, creation of recommendation algorithms and it’s implementation. You will work with a modern stack of technologies such as Apache Spark and AWS to structure the big data volume.
We are looking for a new position as Data Engineer (m/f) for our client KONUX in Munich: At KONUX, we are builders, problem solvers and team players. We combine German engineering with Silicon Valley speed and innovation to create the best possible predictive analytics solutions for our customers. Our mission is to help industrial companies improve their decisions on maintenance and performance in a data-driven world. Working with us means opening up new paths with both tech-savvy engineers and creative business pros, and being part of a fast-paced, high-performance environment.
Aufgaben Du führst spannende und herausfordernde Projekte durch und gestaltest zusammen mit unseren Kunden die Zukunft im Automotive und Manufacturing.Su begleitest Kundenprojekte von der ersten Idee, über Konzeption bis hin zur agilen und flexiblen RealisierungDu analysierst Geschäftsprozesse und deren Daten und entwickeln innovative Anwendungen und Lösungen für unsere Kunden in den oben genannten ThemenfeldernDu generierst aus großen un-/strukturierten Datenmengen relevante Informationen zur Optimierung der Geschäftsmodelle unserer KundenDu modellierst Geschäftsprozesse und fachlich/technische Designs mit besonderem Schwerpunkt auf die IT und Usability (UI/UX)Du steuerst Arbeitspakete und Module in erfolgskritischen IT-Umsetzungsprojekten und übernimmst ab dem ersten Tag im Projekt VerantwortungDu bereitest Kundenworkshops und Meetings vor und gestalten diese aktiv mitDu unterstützt aktiv das ProjektmanagementQualifikationen
For our location in Berlin we are looking for a (Senior) Data Engineer (m/w). Are you into finding hidden treasures in legacy databases with cloud-based analytical tools? Welcome to the team! Digital strategies and concepts only have value if they are implemented successfully. As a member of our Design & Engineering Team, you validate business and process innovations for our global customers by developing prototypes and MVPs. Together with colleagues from the Boston Consulting Group, you will work in an agile way on frequently changing topics.
Postbank Systems AG, verschiedene Standorte Die Postbank Systems AG bündelt als Full Service IT-Dienstleister zentral die ITKompetenz der Postbank. Wir bieten stabile, sichere und qualitativ hochwertige IT-Systeme und -Services und verstehen uns als Rückgrat des modernen Bankings. Das Ziel: unserem Kunden zuverlässige IT-Lösungen bieten, die rundum überzeugen. Dabei decken wir mit rund 1.600 Kolleginnen und Kollegen die komplette Wertschöpfungskette in der Anwendungsentwicklung und im Betrieb ab. Wir beherrschen die volle Bandbreite technologischer Dienstleistungen: von A wie Architektur bis Z wie Zahlungsverkehr.
Our world is changing fast. Consumers, users, and buyers are calling the shots. New things become possible every second. And more complicated, too. Our clients are businesses around the globe. To make the best possible decisions every day, they need to really know what is going on, now and in the future. We don’t have a crystal ball, either. But we love data and science and we understand how to connect the two.
People management and product development for the digital operating room Your work scope Leading cross functional agile product team of 7-12 peopleDeveloping products for the medical domain based on Java and web technologiesDefining roadmap and plan releases with product ownerExecuting resource allocation and planningProviding interface for internal and external stakeholders of the data warehouse product portfolioEnsuring compliance with standards for the development processExecuting probation time and annual performance reviewsMonitoring team progress, identify resource or process bottlenecks and mitigate themReporting directly to CTOYour background
Fresenius Kabi ist ein weltweit tätiges Gesundheitsunternehmen, das Medikamente und Medizinprodukte zur Infusion, Transfusion und klinischen Ernährung anbietet. Unsere Produkte und Dienstleistungen werden in der Therapie und Versorgung von kritisch und chronisch kranken Patienten eingesetzt. (Senior) BI Application Expert (m/w) Unser Team “Business Intelligence Excellence” führt bei Fresenius Kabi Daten aus verschiedensten Quellen innerhalb einer heterogenen Systemlandschaft zusammen, um daraus mehrwertbringende Informationen zu generieren. Neben der Harmonisierung von Prozessdaten auf Basis eines fundierten Prozessverständnisses in diversen Disziplinen, liegt ein Schwerpunkt auf der Gestaltung und Aufbereitung von klar strukturierten und selbsterklärenden Berichten für die Entscheidungsträger der Organisation auf Basis fortschrittlicher BI-Systeme.
We are working on sophisticated problem solving algorithms for the logistics industry. Topics like price prediction, routing and decision optimization are only a few of them. Besides decision trees and random forests we are working on a deep learning neural network to transform the trucking industry not only into the digital age but to also make it intelligent. And this is where we need additional (wo)man power for acceleration. Could this be you?
The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1,000,000 customers in 14 countries on three continents. In less than 7 years on the market, we have grown to more than 266 million Euros in annual sales. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.
Your profile: We are looking for an experienced and passionate Data Engineer (m/f) to join our BI team in Berlin. As Data Engineer (m/f) you will help us to design and implement a modern streaming framework. At Pepper.com, we rely on data to drive our business decisions and to guide us in our search to build the best user experience. That’s why our BI team plays a central role in our data-driven strategy, designing and developing our infrastructure, processes and analytics capabilities.
To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/x) in Munich starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou 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 influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board
What you will do: Envision, influence and lead our Data Science efforts to excellence by recruiting, promoting and developing a highly-motivated Data Scientist team that moves the business’s agenda forwardUtilize Big Data and Machine Learning to build predictive models that support decision making processes, customer experience and various business initiativesConduct Data Science research on business-critical topicsEnsure that the business stays ahead by promoting innovation and identifying new data sources and products that improve our predictive modeling capabilitiesCoordinate cross-functional analytic initiatives and work closely with other data and analytics teamsManage the development and deployment of the Data Science solutions end-to-end: develop the model, backend support systems and the performant production API of the modelsMonitor performance and continuously improve your team’s live production Data Science modelsWhat you should bring:
Our Business Intelligence team generates facts that drive decisions at Freeletics. As a Data Engineer you work closely with our BI team to discover new data sources and integrate new information into our established cloud-based data warehouse. You love to dive through data? You like to puzzle? Apply now! Your responsibilities Design, build and maintain all aspects from how data is collected and processed to data reporting and analyticsImport data from various external and internal sources , including big data platforms or non-relational databasesDevelop ETL processes and database structuresWork together with analysts, data scientists and other stakeholders across teams to fulfil their data needsYour profile
Are you an engineer with a passion for data and data pipelines? Are you a great collaborator and communicator, working across teams to solve complex problems? If so, we should talk. Our Marketplace team is looking for an innovative yet detail-oriented individual to set up, maintain, improve and optimise our daily production of data. In this role, you will work closely with both Data Scientists and other Data Engineers to continuously enhance our data-driven decision making.
At the “Automated Accounting Academy”, we strive to give freelancers and small businesses time for what matters most to them. By automating accounting processes that often steal precious time we empower our users to focus on creating real value - or simply to recharge the batteries with their loved ones. Gini’s technology in combination with our accounting partners’ applications tackles the pain of manual bookkeeping and offers a fully-automated solution to make Accounting beautifully simple.