What you’ll do: Being a member of the data-team, you will be working in a cross-discipline, full stack delivery team focused on one of many core business objectives.Gather and process raw data at scale (including writing programs & scripts, web scraping, calling APIs, write SQL queries, etc.).Work closely with our other engineers and data scientists to integrate algorithms into our production systems.Process unstructured data into a form suitable for analysis, automate the analysis and make the results available.
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 125 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.
Als Data Warehouse/ ETL-Developer (m/w) bei uns wählst du deinen Heimatstandort selbst: Berlin, Bonn, Frankfurt, Hamburg, Leipzig, München, Nürnberg, Stuttgart oder Wien. Nach dem 4-3-1 Prinzip bist du 4 Tage beim Kunden vor Ort, maximal 3 Nächte am Projektstandort und freitags an deinem Heimatstandort. Deine Aufgaben Implementierung komplexer Datenintegrationsprozesse auf Basis moderner ETL-Frameworks (AbInitio, SAS, Informatica, Talend, etc.) Modellierung von technischen Datenbankmodellen basierend auf unterschiedlichen Modellierungsparadigmen (3NF, Data Vault, Star, …)
As Data Warehouse Architect (m/f) you will take a key role in the evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for driving its implementation in accordance with decisive business requirements. Your Job: You will take control of the present data warehouse solution and be in charge of designing, validating and implementing improvements to the system architectureYou will make sure the system is reliably capable of handling large volumes of data and fulfill the necessary analytical processing load, while keeping maintenance efforts at bayYou keep an eye on providing robust, easy to use solutions, which allow efficient day-to-day operations by yourself and your team members, regarding system maintenance as well as the implementation of ETL pipelines and business reportsYou will be conceiving and implementing ETL jobs, integrating and aggregating data from many disparate internal and external sources, advancing data quality and consistencyYou will be in direct contact with stakeholders and analysts from business departments and game studios, understanding their business requirements and translating them into technical solutionsYour Profile:
We are looking for a DataEngineer to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on data pipelines, data storage, analytics tools, data quality and more. About GetYourGuide: With 400+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travelers find and book things to do and explore their destination.
At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. We’re now active and growing in 9 different countries in 3 continents. Our story started in Berlin.
Your Tasks Improvements of our software & systems architecture to growing challenges and data amounts while considering performance, scaling, and data qualityDevelopment, design and implementation of a company-wide data pipelineIntegration of data from various systems into flexible and consistent representationsDevelopment, coding, updating and maintaining database/data warehouse processesManaging the process that all people and IT systems in the organisation have an easy access to the data using various sources and interfacesClose collaboration with the engineering, product, and BI teams in an agile software development process Your Profile