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Senior Data Engineer - Data Products - Retail Ops at Zalando SE (Berlin, Germany)

ABOUT THE TEAM Department: Retail Operations – Team Preorder & Merchandise Optimisation Reports to: Engineering Lead Team Size: <10 Recruiter Name, E-mail: Andreea Lungulescu at As a Data Engineer in the Retail Operations Data Products team, you’ll work with Data Scientists, Backend and Research Engineers to build data-driven products that help Zalando place the right orders for the right articles. Having successfully launched our Sizing Distribution product (a prediction / recommendation system) we are venturing into developing and building new and impactful products to support our colleagues into making smart decisions when spending a budget of approximately 2-3bn.

Senior Developer for diverse, international data company focusing on Java at CARFAX Europe GmbH (München, Deutschland)

As a Senior Developer at CARFAX Europe you will be a part of an agile, cross-functional team that is responsible for the full lifecycle and operation of its product(s). You will develop tools and services for both our internal and external customers. Being a senior and having gained valuable experience in the past, you enable the team to establish and improve sustainable practices such as Test-Driven Development, Object-Oriented Design, and Pair Programming.  You will strengthen your team by providing feedback and guidance in order to better achieve your goals together.

Software Developer Data Processing & Analytics Framework (m/w) at fos4X GmbH (München, Deutschland)

Deine Aufgabenfelder: Aufsetzen des Frameworks für unser Cloud-basiertes Data Processing & Analytics, Mithilfe beim Aufbau einer State-of-the-Art Industrial IoT Plattform unter Nutzung vorhandener ProdukteGestaltung von Dashboards & VisualisierungenUnterstützung der Softwareentwicklung auf Basis von stark datengetriebenen Analyse-/ML-/AI-MethodikenBetreuung von Configuration Management, etc.Unterstützung der Produktentwicklung in cross-funktionalen TeamsProjektmanagement und ReportingDeine Qualifikationen: Erfolgreicher Studienabschluss im Bereich Informatik oder vergleichbarKenntnisse im Aufbau von Analytics-UmgebungenErfahrung im Dashboarding und der VisualisierungIntensive Erfahrung mit Google Cloud, AWS, o.ä..Kenntnisse im Bereich Datenbankdesign und DevOpsErfahrung im Design von Programmierschnittstellen (APIs, Bibliotheken), bevorzugt mit PythonAusgeprägte analytische DenkweiseSelbstständige und ergebnisorientierte ArbeitsweiseDomänenwissen im Bereich Windenergie von VorteilGute Deutsch- und EnglischkenntnisseDeine Benefits:

Software Developer in Client Data Management (f/m) at BMW Group (München, Deutschland)

Our team is responsible for the central IT platform for leading BMW client data for the BMW Group’s brands and services. The platform is a central component of the customer ecosystem (CES) and contributes to the digitisation of sales and marketing processes.  To meet the future demands of the platform regarding growth, flexibility and stability, we are planning a change to microservice and cloud technologies.  Your responsibilities:  You develop proof of concepts and define guidelines for the further development of the platform.

Team Lead Data Engineering for Markets at Zalando SE (Berlin, Germany)

ABOUT THE TEAM Department: Markets  Reports to: Team Lead  Team Size: >5 Recruiter Name, E-mail: Cristiana Martins, As a Team Lead Engineering, you will integrate data sources from all Zalando and enrich them via ETL and Data Science. You will create interfaces and reports for self service and be the bridge between tech and commercial teams. WHERE YOUR EXPERTISE IS NEEDED Lead a team of engineers with different backgrounds such as big data engineers, front end developers and ad-hoc consultants and grow tech mastery and best practices trough leadership and living our valuesExtend the team’s technology, which includes a move towards AWS and Data Science technologies and toolsDiscover new business use cases and data sources, accessing more than 100 data sources in our Data Lake and processing them for business critical applications.

Senior Data Engineer (FinTech, Scala, Spark, Flink & Kafka) at Zalando Payments SE & Co.KG (Berlin, Germany)

You Are Ready To Make An Impact At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering. As a Senior Data Engineer at Zalando Payments, you’ll help us to shape the data infrastructure that supports our risk assessment models, responsible for processing Billions of euros every year.

Senior Python Engineer (Backend / Data Driven/ Zalon) at Zalando SE (Berlin, Germany)

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.

Wir suchen Sie als Cloud Data Solution Developer im Umfeld cloudera, aws.. (m/w) at inovex GmbH (München, Deutschland)

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.