Um den Erfolg und das weitere Wachstum von STEADFORCE mitzugestalten, sowie die digitale Transformation in Deutschland zu begleiten, suchen wir ab sofort einen Senior Big Data Entwickler (m/w) Dein Aufgabengebiet Du entwickelst anspruchsvolle Anwendungen unter Verwendung von z.B. Hadoop und Spark.Gekonnt integrierst Du verschiedene Datenquellen und -typen.Du bist zuständig für das Design, die Konzeption und Architektur von Informationsplattformen und integrierst Big Data Technologien in existierende Infrastrukturen.Aus großen Datenmengen gewinnst Du Informationen – logische, technische und fachliche Zusammenhänge – und präsentierst anschaulich Deine Ergebnisse.

About the job As a Big Data Engineer at HelloFresh, you will be collaborating to build one of the most advanced big data platforms in Europe. You will develop distributed services that processes data in near-time and real-time, with focus on scalability, data quality and integration of machine learning models.  Plan, Implement and maintain distributed, service-oriented and message-oriented data platform components Design, build, and maintain data ingestion, ETLs and infrastructure for batch and near real time processing.

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.

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.

We are searching for resourceful and innovative Data Engineers to join our fast growing team in Berlin. You will be working with terabyte-scale quantities of data in near real-time, producing efficient, fault-tolerant and industrialised pipelines. You will work with a cross-functional team, closely collaborating with data scientists and analysts. As an ad tech company, data is at the core of everything travel audience does. By joining us, you will find ways to solve complex technical challenges which directly impact our business and play an integral part in helping us become the world leader in the travel advertising domain

We are searching for resourceful and innovative Data Engineers to join our fast growing team in Berlin. You will be working with terabyte-scale quantities of data in near real-time, producing efficient, fault-tolerant and industrialised pipelines. You will work with a cross-functional team, closely collaborating with data scientists and analysts. As an ad tech company, data is at the core of everything travel audience does. By joining us, you will find ways to solve complex technical challenges which directly impact our business and play an integral part in helping us become the world leader in the travel advertising domain

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a Spark/YARN cluster of more than 60 machines. We are currently revamping and rearchitecting our Big Data systems. This will involve the integration of some cutting-edge technologies into our tech stack and the challenge of extending the on-premise cluster to the cloud.  We are therefore seeking a proactive, proven and creative (Senior) Data Engineer who can design and implement new features for our DMP.

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a Spark/YARN cluster of more than 60 machines. We are currently revamping and rearchitecting our Big Data systems. This will involve the integration of some cutting-edge technologies into our tech stack and the challenge of extending the on-premise cluster to the cloud.  We are therefore seeking a proactive, proven and creative (Senior) Data Engineer who can design and implement new features for our DMP.

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. Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices, and to ensure that we have the right level of logistics capacity to fulfil customer demand.

Das bringt der Job: Wir wollen die Nutzbarkeit und den Impact unserer Datenplattform für real-time- und batch-Verarbeitung im Konzern maßgeblich steigern – mit deiner Expertise!.Gemeinsam mit Deinen Kollegen übernimmst Du die Verantwortung für Konzeption und Umsetzung unserer neuen, hoch performanten und robusten Datenplattform in der Cloud für big, fast & smart Data.Du verantwortest die Verarbeitung und Aufbereitung der Daten entlang ihres gesamten Lebenszyklus in unseren Data Pipelines der Datenstromverarbeitung.Du arbeitest mit unterschiedlichsten Datasets und stellst eine hohe Konsistenz sowie Verfügbarkeit sicher und schaffst neue Einblicke zu unseren Kunden.

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.

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:

The product: A sophisticated query engine We are building a sophisticated OLAP/SQL query engine for advanced analytics, accessing data from many different data sources (RDBMS’s, Hive, Impala, Druid, Elasticsearch and others). The query engine is written in Scala and builds on Apache Calcite. We are planning to open-source it during the course of this year with the goal of making it an Apache project eventually. The stack Scala, Java, Apache Calcite, Spark

We are seeking a data engineer who will work with our ambitious team and take our data infrastructure to the next level to help make our customers successful. If you are passionate about empowering people in making data-driven decisions, then we’re eager to get to know you. You have the option to start immediately in our Hamburg office. This is a full-time, permanent position. Responsibilities Shape and execute a technological mid and long term vision for data engineering with the teamProvide data in a reliable and efficient way to our stakeholders by keeping the data warehouse and all incoming and outgoing data streams running and up to dateHelp improving our product by finding and implementing new ways of using dataResearch and implement a new and advanced tech stackBuild and improve software solutions to support the work of Data Analysts and other teams in their daily workDefine processes and contracts for providing clean and unified dataRequirements

Area of responsibility The Data Scientist is responsible for designing, developing and implementing learning algorithms and analyzing big data in the health care domain. Tasks and responsibilities Participate in cutting edge research in machine intelligence and machine learning applicationsDevelop solutions for real world, large scale problemsExperiment with novel approaches, some of which might have originated from academic workWork closely with the backend engineers to design and maintain scalable data models and pipelinesRequirements

Dich faszinieren neue Technologien und das Orchestrieren komplexer Systeme? Du willst mit uns eine Infrastruktur schaffen, die mit unseren rasant wachsenden Energiedaten skaliert? Dann komm zu uns ins netteste Entwicklerteam Kölns! DAS UNTERNEHMEN Als agiles Startup im dynamischen Wachstumsmarkt für Smart-Energy-Software begleiten wir weltweit Energieversorger und Unternehmenskunden bei der Realisierung von Mehrwerten aus Smart-Meter-Daten. Dabei setzen wir mit einem talentierten Team innovative Technologien (AI, Machine Learning, Data Science) ein. Bereits heute leisten wir so einen nachhaltigen Beitrag zur Energiewende und gestalten die Digitalisierung der Energiebranche mit unseren kreativen und intuitiven Software-Lösungen maßgeblich mit.

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 Senior Big Data Architect will be responsible for strengthening and further extending our data platform, which serves as a basis for analysis that drives decision making in the company. GameDuell is one of the leading casual games companies in Germany located in the heart of Berlin. With more than 130 million users we are constantly looking for ways to improve our product and our players` experience. In order to fulfill our mission of bringing people together to have a good time with games, we are following a solid engineering approach.

To support our ambitious growth, we are now looking for Data Engineers (m/f) in Munich starting as soon as possible. Your Tasks – Paint the world green You are in charge to build a data platform that consists of several services (messaging, streaming, persistence, etc.) that can be used by our product development teams in a self-service wayYou consult and support the data platform users in creating high performant data-driven analysis or applicationsYour Profile – Ready to hop on board

Das Auto der Zukunft ist unsere Herausforderung, Software für Fahrzeugelektronik im Volkswagen-Konzern unser Kerngeschäft. Wir arbeiten an den großen Trends der Automobilbranche, wie E-Mobilität, automatisches Fahren und Connected Cars. Ihr Arbeitsgebiet Ihr zukünftiges Arbeitsgebiet umfasst die Realisierung von Konzepten für datenbasierte Funktionen, sowie deren Umsetzung. Sie nutzen Fahrer-, Fahrzeug- und Umwelt-Daten für neue intelligente Funktionen einer smarten Assistenz, die dem Kunden bei der Nutzung von Mobilitätsdiensten und Fahrzeugfunktionen unterstützt. Dadurch hat ihre Arbeit maßgeblichen Einfluss auf die Entwicklung neuer innovativer Funktionen.