Data Architect - Pricing & Forecasting Design and lead the analytics platform for Pricing 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 connect all people and parts of the fashion ecosystem. Pricing is at the core of our commercial operations and most of the decisions are based on analytics. Most of our products are powered by data science and involve big data processing and storage.

Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of Internet of Things.

Als Lead Data Engineer bist du mitverantwortlich für die Entwicklung von Daten Services welche in allen Produkten und Firmen der Tamedia eingesetzt werden. Die Bandbreite reicht von Classifiers über Recommender bis zu User Tracking, KPI Dashboards oder Data Pipelines. Du bist ein Verfechter von performanter Software und verstehst diese mit deinem Team zu entwickeln.  Als Teamplayer bist du motiviert neues zu Lernen und im gegenseitigen Diskurs auch deinen Mitarbeitern zu unterstützen um als Team Erfolge zu feiern.

Our SumUp office in Berlin is currently hiring for the position of Quality Assurance Engineer - Data Warehouse and ETL TASKS Set the strategy for testing data warehousing related features, enhancements and bug fixesUnderstand ETL and reporting logic, write complex SQL queries to validate data transformations, aggregations, denormalisation, data processing and generation of automated reports.Data profilingIdentify and analyse data discrepancies, data quality issues and work to ensure data consistency and integrity among different systemsCreate and maintain test plans and automated test scriptsMaintain a strong working relationship with the data warehouse development teamCoordinate testing activities with the QA team, product/project management and development to ensure delivery timelines and satisfy business needs.

Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryIdentifying and extracting features for our risk modelsContributing to our risk engine in order to know how AI is used in the industryClose co-operation with data engineering and business unitsDeveloping your skills in a very rewarding and promoting environmentYour skills Include: Pursuit of a degree related to business or a quantitative subjectBasic experience with SQL and PythonFast and agile learnerWork well under tight deadlines and fast pace work environmentBonus points:

Data Architect - Pricing & Forecasting Design and lead the analytics platform for Pricing 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 connect all people and parts of the fashion ecosystem. Pricing is at the core of our commercial operations and most of the decisions are based on analytics. Most of our products are powered by data science and involve big data processing and storage.

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) 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

We work in a multidisciplinary product team and we build elegant user interfaces using an exciting tech stack of React Native for our iOS & Android apps. We use modern JavaScript across our stack, from our Node.js API to our React Native view layer and React-based internal tools. Our data stack consists of Google cloud-based infrastructure consisting of BigQuery, PostgreSQL and Python based transformations. The role: We are looking for an experienced Data Engineer to join our Data team.

Zalon is the successful story of curating and delivering complete outfits for our customers. Part of Europe’s Leading Technology Fashion Platform, we live and breathe excellent software engineering. As part of our recruitment ramp-up for a designated Data Science & Research Engineering team, you, as a Python Backend Engineer will bring the engineering perspective into our products. Expect a role where you will have immediate impact as we iterate fast and experiment a lot, welcoming your innovative engineering ideas to the table.