Do you enjoy technical challenges and are eager to delve into the waters of security? Our IT Security team is looking for an experienced software engineer whose expertise, passion and drive can help ensure that the data of our 120 million monthly users, OTA’s & employees are protected and all systems are SOX and GDPR compliant.  You will have a big impact in this role, working with multiple teams to support our product moving forward.

Our technology teams won’t settle for second place when it comes to keeping millions of customers up with the action. That’s why we give them the best resources to work with. Bring your focused expertise and drive to a business that will give you the freedom to innovate and explore. Join bwin (a part of GVC) as a Senior Java Developer and grab your opportunity to make things better for millions of sports betting and gaming customers worldwide.

Our technology teams won’t settle for second place when it comes to keeping millions of customers up with the action. That’s why we give them the best resources to work with. Bring your focused expertise and drive to a business that will give you the freedom to innovate and explore. Join bwin (a part of Entain) as a Senior Java Developer and grab your opportunity to make things better for millions of sports betting and gaming customers worldwide.

Manufacturing is one of the last sectors without truly digital and automatized operations. A lack of data accessibility is the key obstacle to the adoption of new technologies in manufacturing. As we have developed technology to tackle these issues, we at ENLYZE are at the frontier of a changing industrial landscape, capturing real-time manufacturing data in a structured way from an increasing amount of different PLC manufacturers. Enriching, processing and analyzing such data streams in a near-realtime manner has been and continues to be one of the most interesting challenges.

Manufacturing is one of the last sectors without truly digital and automatized operations. A lack of data accessibility is the key obstacle to the adoption of new technologies in manufacturing. As we have developed technology to tackle these issues, we at ENLYZE are at the frontier of a changing industrial landscape, capturing real-time manufacturing data in a structured way from an increasing amount of different PLC manufacturers. Enriching, processing and analyzing such data streams in a near-realtime manner has been and continues to be one of the most interesting challenges.

WELCOME TO VATTENFALL BA Markets is now looking for the right person to fill the position as Senior Data Engineer (f/m/d) Your job as a Senior Data Engineer (f/m/d): You will be the main Data Engineer in our central analysis department with responsibilities involving hands on data gathering, conceptual data-architecture development and knowledge sharing of data-related requirements. In this role you will be deeply involved in applying Machine Learning on energy market use-cases, a task requiring strong cooperation with colleagues from Analysis, IT and Front Office.

WELCOME TO VATTENFALL BA Markets is now looking for the right person to fill the position as Senior Data Engineer (f/m/d) Your job as a Senior Data Engineer (f/m/d): You will be the main Data Engineer in our central analysis department with responsibilities involving hands on data gathering, conceptual data-architecture development and knowledge sharing of data-related requirements. In this role you will be deeply involved in applying Machine Learning on energy market use-cases, a task requiring strong cooperation with colleagues from Analysis, IT and Front Office.

We are looking for a motivated Data Engineer (m/f/x) joining our team of enthusiastic system engineers. Our data infrastructure is currently handling more than 10.000 requests per second and processing more than 1 TB of data each hour. Your main focus will be harvesting cloud- and container technologies including queueing, streams, distributed systems and data infrastructure.   As an expert for clean code, design patterns and software engineering best practices, you will help your colleagues to further build our data infrastructure.

Weiterentwicklung der Echtzeit Datenverabeitungsstrecke vom Log bis zum Report in der täglich 2TiB an Logdaten verarbeitet werdenNeuentwicklung des Reportingsystems auf Basis von Hadoop, um ADITION Ad-Serving noch schneller und robuster zu machenEvaluierung und Mitentscheidung bei der Auswahl von neuen TechnologienEnge Zusammenarbeit mit unseren Ops-Team zur Überführung von neuen Funktionen in den Livebetrieb (Continuous Integration)Analyse und ständige Verbesserung bestehender SystemeDein Profil Abgeschlossenes Studium in Informatik oder eine vergleichbare AusbildungErste Erfahrung mit mindestens einer Programmiersprache der JVM, idealerweise ClojureSicherer Umgang mit Linux auf ShellIdealerweise Erfahrung mit NoSQL (Aerospike, Cassandra oder HBase), Echtzeitdatenverarbeitung (Storm, Spark) oder MySQLTeamfähigkeit, Kommunikationsstärke und Neugierde Link: https://aditionag.

These tasks are waiting for you: Be the professional lead for our data team Obtain actionable business-oriented insights from processed IoT data Identify and explore opportunities to apply machine learning algorithms and guide their development from initial testing to their final user-facing application Communicate and collaborate with the digital marketing, business development and product development teams in a high pace environment Processing and aggregation of terabytes of raw near real time/real time IoT data Maintenance, expansion, and optimization of existing data pipelines (ETL/ELT)Qualifications:

Gestalten Sie gemeinsam mit uns die digitale Zukunft und sorgen Sie dafür, dass Innovationen sicher sind! TÜV SÜD begleitet mit weltweit 24.000 klugen Köpfen seit 150 Jahren High-Tech-Entwicklungen und Innovationen: vom Dampfkessel bis zum autonomen Fahren. Mit Ihrem Expertenwissen stärken Sie TÜV SÜD in der Weiterentwicklung bestehender und neuer Geschäftsfelder. Wir freuen uns auf Ihre Bewerbung am Standort München als Data Engineer (w/m/d) im Bereich Data Analytics AufgabenKonzeption und Umsetzung (Rapid Prototyping) skalierbarer Architekturen für State-of-the-Art Big Data-AnwendungsfälleUmsetzung komplexer ETL-/ELT-Prozesse auf Basis aktueller Big Data-TechnologienAustausch mit Projektteams interner und externer Kunden zur AnforderungsanalyseUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists sowie Data ArchitectsPerformance-Optimierungen und Skalierbarkeitsanalysen für Analytics Use Cases nahe der Echtzeit und im BatchDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusVerantwortung für Konfiguration, Management und Betrieb der Rapid Prototyping-Umgebungen, einschließlich der Datenbank- und Storage-UmgebungenVerfolgung von Trends im Analytics- und Big Data-Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation

What does it mean to work with us? SUCCESS: Sixt is an IT company with a very large car pool. Our inhouse development team is the driving force behind the Sixt software which enables and optimizes the daily work of more than 6,000 employees in over 100 countries. We shape the future of mobility through innovation by using modern technologies! SPEED: Flat hierarchies and short decision paths enable us to be extremely dynamic and always one step ahead.

Als Teil des Business Development- und Product Development-Teams unterstützst du beide Teams darin, business-relevante Daten nachhaltig zu speichern und aufzubereiten. Du hilfst in einem Umfeld von zahlreichen serviceorientierten Komponenten mit, die Datenintegrität sicher zu stellen, um unser Geschäftsfeld weiterentwickeln können.   Diese Aufgaben begeistern dich? Du arbeitest am Aufbau eines Monitorings zur Sicherstellung der Datenflüsse mit.Du testest/prüfst Data Applikationen und Reports hinsichtlich deren Datenkonsistenz und inhaltlicher Korrektheit und validierst die semantische Aussagekraft von Kennzahlen.

Are you passionate about food, data and intelligent applications?  Delivery Hero is building the next generation global online food-delivery platform, with data at the center of delivering amazing food experiences.  We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.

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.

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.

Wir suchen Dich als Data Science Engineer Scala 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. Deine Aufgaben: Mit Deinem Fachwissen arbeitest Du eng mit unserm Data Science Team zusammen und konzipierst und entwickelst eine state-of-the-art Plattform.

Developing our ETL track processing 2 TiB data a dayFurther development of our reporting system in ADITION adservingWorking hand-in-hand with our system administration team for releasing new functionsCreating reports based on our customer requirementsAnalysing existing systems and their continuous improvement in teamworkSkills & Requirements Final degree in computer science or equivalent educationExperience with at least one JVM programming language, ideally ClojureWell-versed in using the linux shellIdeally Experience with NoSQL (Aerospike, Cassandra or HBase), real-time data processing (Storm, Spark) or MySQLTeamplayer, strong communication skills and curiosity Link: https://aditionag.

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 manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. You will work for the Data Services department in Zalando, in the team that is taking care of defining our Data Lake. The Data Lake is a platform that aims to collect all the data and business events generated within Zalando, in near-real-time and batch manner, archive them, offer transformation functionalities and data access that will be used to take data-driven decisions.

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.