Jetzt Big Data DevOps Engineer (m/w/d) OpenShift am Standort Nürnberg werden. Agil, lösungsorientiert und technologisch interessiert – das beschreibt Sie mehr als gut? Und Ihr technisches Können steht Ihrer persönlichen Kompetenz in nichts nach, denn Sie wissen, dass Teamplay & Kommunikation mehr als die Hälfte des Weges sind? Perfekt! Verbinden Sie Dev mit Ops und bereichern Sie unsere Expertise „Big Data“! Ihre Aufgaben: Geht es um operative und strategische Entscheidungen über die ganze Bandbreite des Bankengeschäfts, machen Sie uns mit smarten Analysen, Lösungen und Tools das Leben leichter. Sie betreuen und entwickeln containerisierte Lösungen, erkennen und erfassen die Abhängigkeiten zu anderen Systemen und Prozessen. Mit Know-how und Überblick unterstützen Sie im Requirements Engineering und helfen, Arbeitspakete zu strukturieren und zu bewerten. Nicht zuletzt übernehmen...

Preparing, designing, testing and maintaining marketing reports in Tableau Planning and building data structures in Google BigQuery Testing, optimising and developing our BI services platform Planning and developing marketing processes while managing stakeholders Conducting data quality analysis and KPI audits Supporting multiple marketing teams to utilise our tools and platforms You bring 2+ years of experience working with BI, data analysis or digital marketing experience is preferred, but highly driven juniors will also be considered Excellent analytical skills Strong stakeholder management and communication skills Hands-on experience with Tableau, Power BI or similar Basic SQL and understanding of databases Experience with Goolge BigQuery, Python, Flask, Django, Javascript, React.js is a plus Very good English What we offer The security of a successful global company The opportunity to take your career to the...

Big Data DevOps Engineer (m/f/x) Machine Learning Platform in Nürnberg Open Source is your universe and Jupyter the planet you want to land on? Perfect! Make your way into our expertise „Big Data“ and span your learning curve from Data Science to Data Engineering! Your Tasks: Our Big Data and ML technologies are based on containerised and highly distributed cluster solutions, which you will support and develop further with your team. You will quickly get the hang of it and develop yourself into an all-round expert as well as contact person for any questions of detail about the platform and technologies. From the basics of how to properly use it to advanced levels: You train and support our Data Scientists and provide the analyses and tools to allow us to answer the operational and strategic questions, today and tomorrow, across all business units. You identify dependencies to other systems and processes, provide advice and support in...

Aalen Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people. Your role: We are looking for passionate and talented students who want to make an impact by supporting the development of our Big Data Analytics Team by applying machine learning, artificial intelligence solutions and big data analytics. Integrated in a freshly setup dynamic international team of business analysts from whom you can learn and who are eager to learn from you, as well. You have: a bachelor’s degree in computer science, planning, supply chain, (industrial-)engineering, or related fields with an outstanding study record, and are currently enrolled at a university a solid understanding of artificial intelligence,...

  Big Data DevOps Engineer (m/f/x) Elastic Stack in Nürnberg Agile, solution-oriented, and technologically interested – that describes you to a T? And your technical skills are on par with your personal skills, because you know that team play & communication together pave the road to success? Perfect! Combine Dev with Ops and enrich our expertise „Big Data“! Your Tasks: When it comes to operational and strategic decisions across the entire spectrum of banking business, you make our lives easier with smart analyses, solutions and tools. Specifically: you will support and develop containerised solutions for the Elastic Stack, for central log file monitoring and for analysing metrics. You are always aware of dependencies to other processes and systems and thus optimally support the requirements engineering, the structuring of work packages as well as their evaluation. Last but not least, you are happy to take on project...

Statista is one of the world’s leading statistics portals. As a multiple award-winning innovative digital company, Statista provides customers such as Google, Bloomberg, Forbes, Procter & Gamble, or Porsche with high-quality research & analysis, data intelligence, and content marketing products and services. With 1,000 employees from over 57 nations and 12 subsidiaries in Europe, North America, and Asia, Statista derives its innovative energy from its internationality and diversity. Statista provides a company culture based around learning by doing and entrepreneurship, offers great career opportunities, and combines the pioneering spirit of a start-up with the stability of an established company. Your tasks Design, improve and develop industry, country and city reports Research and analysis of external primary and secondary data Prepare structured, clear and high-quality research and analysis results in PowerPoint and Excel Automate, enhance...

Ihre Aufgaben Du entwickelst ETL-/ELT-Jobs, sorgst für schnelle Datenbereitstellung im Data Lake und stellst die Datenqualität sicher Du betreust unsere Azure Data Cloud und nutzt Azure Services Du bildest die Schnittstelle zwischen der Anwendungsentwicklung und dem Team Data Analytics Du arbeitest im Rahmen von konzernweiten Projekten in einem hochmotivierten Team mit modernen agilen Methoden wie Scrum Ihr Profil Du verfügst über ein abgeschlossenes Studium der (Wirtschafts-)Informatik, Physik oder Mathematik oder über ein vergleichbares Studium oder eine Ausbildung Du besitzt Architekturerfahrung und fundierte Kenntnisse im Bereich Data Engineering oder Data Management, insbesondere beim Einsatz von ETL-Tools z.B. Talend oder Azure Data Factory Du kennst Dich aus mit Cloud-Services, idealerweise mit Microsoft Azure Du hast Programmiererfahrung bevorzugt mit Java und Python Du hilfst auch schwierige Themen...