We are currently looking for a Data Architect and Team Leader (m/f/d) for our Data Warehouse - & Data Science team. In this position, you would be leading a team of 8 employees, by not only working strategically but also working hands-on and giving proactive advice and support for the team. YOUR TASKS You are operatively and strategically leading a team of Data Warehouse Developers, Data Engineers and Data Scientists (8 Employees) in close cooperation with the Team Lead of the whole Data Intelligence Team.

We are currently looking for a Data Architect and Team Leader (m/f/d) for our Data Warehouse - & Data Science team. In this position, you would be leading a team of 8 employees, by not only working strategically but also working hands-on and giving proactive advice and support for the team. YOUR TASKS You are operatively and strategically leading a team of Data Warehouse Developers, Data Engineers and Data Scientists (8 Employees) in close cooperation with the Team Lead of the whole Data Intelligence Team.

“If you hate it, automate it” is your motto? A smooth software is triggering pure happiness? Join us a Senior IT Operations Engineer at Ultra Tendency! The requirements: Note: Applicants must be nationals of a member State of the European UnionYou have experience with Cloudera or Hortonworks and already worked with some of these tools: Docker, Ansible, Kubernetes, Terraform, SaltStackYou have no problem with managing your infrastructure on the command line and use version control systems, like Git as well as ticket systems, like Jira or HP Service ManagerYou are driven by high quality standards and attention to detailYou are willing to travel to customers and work 1-2 days per week on-siteYou got very good oral and written skills in German and EnglishYou tasks

Are you ready to be a unicorn and being part of the team that builds RBI’s next generation data lake for a living analytic Eco-system? Join us being part of something big and innovative.As Data Engineer you will act hand in hand with data scientists, big data architects and data consumers across CEE to plan and execute data integration. You will be in charge for data definition and the mapping from raw data to final data products running on the Data Lake Eco-system.

We’re looking for a Big Data Architect who’s willing to make an impact on the Big Data world. Requirements: At least 3-5 years of Big Data experience (Cloudera, Hortonworks, etc.)Solid experience with data ingestion, analysis, integration, and design of Big Data applications using Apache open-source technologiesStrong background in developing on LinuxSolid computer science fundamentals (algorithms, data structures and programming skills in distributed systems)Knowledge of AWS and Azure is a plusVery good written and oral German and English is a MUSTExcellent presentation and communication skills are requiredWilling to travel to customers and work 1-2 days per week onsiteYour benefits:

„Bank. Neu gedacht.“ Arbeite gemeinsam mit über 1000 Kollegen bei Deutschlands größtem Online-Broker. Bank, neu gedacht heißt auch: immer wieder „Bank“ neu denken. Und dafür suchen wir Dich.  Als Big Data Engineer bist Du Mitglied eines breit aufgestellten IT-Teams und bringst Dein Fachwissen und Deine Persönlichkeit in die Bankanwendungen von morgen ein. Deine Aufgaben im Überblick: Du gestaltest den Auf- und Ausbau des strategischen Themas Big Data in der comdirect mit.Du betreust und managst unsere Big Data-Infrastruktur u.

Herausfordernde IT-Projekte an der Spitze der technologischen EntwicklungSie beraten und begleiten unsere namhaften Kunden bei der Anforderungsanalyse, dem Design und der Implementierung von Cloud-basierten Data-Management-Systemen und -ApplikationenIm Geschäftsbereich Data Management & Analytics liegt der Fokus dabei auf den Software- und Platform-as-a-Service-Angeboten der großen Public Cloud AnbieterSie modellieren sowohl Real-Time-Kennzahlensysteme für cloud-born Data als auch hybride Anwendungsszenarien, die die bestehenden On-Premise- Welten mit der Cloud verbindenInsbesondere für Fragestellungen im Kontext „Industrie 4.