With our innovative and stylish products from the Dining & Lifestyle and Bath & Wellness segments, we have been creating moments and rooms to feel good in since 1748. Our success is based on the passion, design expertise and innovative strength of our more than 13,000 employees in 42 countries. Want to become part of us? #shapeandcreate Bist du bereit für den nächsten Schritt?
Strong Communicator: Ability to communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g., Product, Design). Team Player: Actively shares knowledge, mentors other team members, and is focused on achieving collective team goals. Nice to have Design awareness and ability to collaborate closely with designers Familiarity with gRPC and Go in a shop backend environment expertise in UI and Animation development Benefits Hybrid working Täglich frisches Obst Sportkurse Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Betriebliche Altersvorsorge Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
PHP Laravel Vue.js TypeScript What you will do Own the end-to-end architecture of modular add-ons (backend, frontend, integrations) and ensure scalability, security, and maintainability Design and implement advanced backend logic (Laravel, queues, events) and complex database schemas optimized for high-traffic e-commerce environments Oversee frontend integration within a micro-frontend setup (SingleSpa), ensuring seamless performance and UX consistency Lead CI/CD, semantic versioning, Docker-based environments, and release processes with stable rollouts Ensure production reliability through monitoring, alerting, and proactive incident response (e.g., DataDog, AWS environments) Act as technical lead and final reviewer, mentoring engineers, enforcing high code quality standards, and driving architectural consistency Who you are 10+ years of experience building, scaling, and operating complex fullstack web applications in production environments, ideally within e-commerce or SaaS ecosystems Expert proficiency in PHP (8.x) and Laravel (including Middleware, Queues, Events, Gates/Policies), along with strong experience in Vue.js 3, TypeScript, and modern state management (e.g., Pinia) Deep architectural expertise in designing secure, multi-tenant, and distributed systems, with strong understanding of SOLID/DRY principles and long-term maintainability Advanced database and performance engineering skills (MySQL/RDS, complex schema design, indexing strategies, Redis caching) in high-traffic environments Proven ownership of DevOps-adjacent responsibilities, including Docker-based environments, CI/CD pipelines, semantic versioning, AWS infrastructure awareness, and production monitoring/alerting Strong technical leadership skills: mentoring senior engineers, conducting high-quality code reviews, decomposing complex problems, and translating technical decisions into clear business impact Benefits Hybrid working Fresh fruit every day Sports courses Exclusive employee discounts Language courses Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Flexible Working Hours Company pension Professional training Dog-friendly office AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF SCAYLE.
What you will do Own and evolve the Commerce Cloud’s AWS infrastructure through the application of Infrastructure-as-Code (IaC) principles to ensure scalability, high availability, and cost efficiency Design, implement, and optimize CI/CD pipelines and operational workflows utilizing tools such as GitLab CI, AWS CloudFormation, and Terraform.
Optionally contribute to full-stack development by creating backend REST services in Java. Document your work using UML and AsciiDoctor to keep designs transparent and maintainable. Continuously improve existing UIs for responsiveness, accessibility, and speed – while exploring how AI can personalize and optimize user interactions.
Vacancy open for Madrid or Berlin. Key Responsibilities • Design and implement ML models for automating and processing 3D data in orthodontic treatment. • Develop algorithms for teeth segmentation in 3D scans and imaging data. • Work on material reconstruction of teeth for realistic visualization and simulation. • Collaborate with domain experts (orthodontists, clinical specialists and biomechanical engineers) to refine requirements and validate solutions. • Optimize computational geometry workflows for efficiency and accuracy. • Integrate solutions into production-ready pipelines and software tools. • Stay updated with the latest research in ML, 3D graphics, and medical imaging.
MySQL Python Google BigQuery Gitlab What you will do Conduct in-depth analyses on shop user behavior to uncover actionable insights Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences Provide full-cycle A/B test analytical support to optimize shop performance Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability Design and implement advanced dashboards, enabling self-service analytics across the organization Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are Advanced proficiency in SQL for complex data analysis and querying large datasets Expertise in e-commerce KPIs and funnel analysis Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation Strong understanding of customer segmentation and cohort analysis in the e-commerce context Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
Du legst großen Wert auf hohe Qualität – dazu gehören ein tiefes Verständnis von Softwarearchitekturen, eine Affinität für konzeptionelle Klarheit sowie der Einsatz von Design Patterns und Code Reviews. Du hast den Ehrgeiz, dich kontinuierlich weiterzuentwickeln – sei es durch interne Tech Talks, teamübergreifende Gemeinschaften, Konferenzen oder Forschung.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Du brennst für Data Transformation as Code und moderne Cloud-Architekturen? Dann gestalte mit uns die datengetriebene Zukunft. Architektur-Design: Du konzipierst und implementierst moderne Datenplattform-Architekturen in der Cloud auf AWS, Azure oder GCP mit Fokus auf Snowflake.Data Engineering: Du entwickelst modulare und testbare Transformations-Pipelines mit dbt und arbeitest nach Best Practices wie Versionierung, CI/CD und automatisierten Tests.Datenmodellierung: Du erstellst Datenmodelle nach Data Vault 2.0, Star-Schema oder vergleichbaren Modellierungstechniken zur strukturierten Abbildung fachlicher Anforderungen.End-to-End Orchestrierung: Du integrierst Ingestion-Tools wie Fivetran oder Airbyte und stellst die Workflow-Orchestrierung mit Airflow oder Dagster sicher.Consulting und Coaching: Du berätst Kunden bei der Auswahl geeigneter Komponenten und begleitest die Migration von Legacy-Systemen in die Cloud.Qualitätssicherung: Du stellst durch automatisierte Datenqualitätsprüfungen und klare Governance-Strukturen eine hohe Datenverlässlichkeit sicher.
Beratung von Kunden in Microsoft Dynamics 365 Finance-Projekten – von der Anforderungsanalyse über das Design bis zur Implementierung und Go-live-Begleitung Umsetzung und Optimierung von Prozessen in Microsoft Dynamics 365 Finance & Supply Chain Planung und Durchführung von Workshops, Schulungen und Presales-Terminen Konzeption und Dokumentation von individuellen Anpassungen (Customizing, Erweiterungen) Enge Zusammenarbeit mit Projektleitung, Development und den Fachbereichen auf Kundenseite IHRE KENNTNISSE Ihr Profil – Finance-Expertise trifft Technologieverständnis 📊⚙️ Sie bringen fundiertes Know-how in Dynamics 365 Finance mit und haben Freude daran, Prozesse im Finance-Umfeld gemeinsam mit dem Kunden weiterzuentwickeln.
Dabei agierst du als zentrale technische Ansprechperson für Architektur-, Migrations- und Transformationsprojekte. Architektur und Design: Du unterstützt bei Konzeption, Design und Weiterentwicklung von PostgreSQL-Datenbanklandschaften sowie hybriden Plattformen mit Oracle, Microsoft SQL Server oder MongoDB.
Das bringst du mit Studium, Data-Background: Du hast ein abgeschlossenes Studium der Wirtschaftsinformatik, Informatik, Data Science oder eine vergleichbare Qualifikation.Berufserfahrung, Analytics-Know-how: Du verfügst über mindestens 8 Jahre Erfahrung in Data-Analytics-, BI-, DWH- oder KI-Projekten mit direktem Kundenkontakt.Solution Design, Pre-Sales-Expertise: Du hast fundierte Erfahrung im Anforderungsmanagement, in der Entwicklung von Solution Designs sowie in Pre-Sales- und Angebotsprozessen.Technologiekompetenz, Cloud-Plattformen: Du bringst tiefes Verständnis von Analytics- und KI-Architekturen sowie Erfahrung mit MS Fabric, Snowflake oder Databricks mit.Wirtschaftlichkeit, Multiprojektmanagement: Du kannst Projekte wirtschaftlich bewerten, kalkulieren und mehrere Kunden- und Projektkontexte parallel steuern.Kommunikationsstärke, Persönlichkeit: Du trittst souverän auf Managementebene auf, kommunizierst verhandlungssicher in Deutsch und gut in Englisch und überzeugst durch analytisches Denken, Abschlussstärke und Reisebereitschaft.