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.
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.
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.
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.
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.
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.
We are currently looking for a skilled Senior Quality Assurance Engineer (m/f/d) to join the Checkout Unit onsite in Hamburg or Berlin. What you will do: Focus on the design, development, and execution of automated end-to-end tests Manage and prioritize bug reports, keeping their business value in mind Lead regression testing, identify and resolve defects to ensure the stability of high-traffic customer interactions and transactions Analyze complex workflows, data flows, and database interactions to identify potential areas for improvement in test coverage and performance Report bugs and reproduce them throughout the complete bug cycle Coordinate testing efforts to ensure the delivery of quality features Advocate for product quality within cross-functional teams Contribute to ABOUT YOU’s long-term automation strategy in testing Who you are: 4+ years of experience in QA, testing, and debugging REST backend applications, with strong knowledge of HTTP methods, status codes, headers, and error handling Proficient in API validation against OpenAPI/Swagger specifications 4+ years of experience with JavaScript/TypeScript or other OOP languages, using frameworks like Mocha/Playwright, and GitlabCI 2+ years of experience working with relational and NoSQL databases, focusing on integration and data flows Passionate about automation and building maintainable test suites that provide continuous feedback, with strong skills in both exploratory and automated testing Experienced with agile methodologies Excellent communication skills, including fluent written and spoken English for clear collaboration Solid understanding of transaction systems, gateways, customer data, and large-scale database structures Committed to identifying and addressing issues early, ensuring high-quality customer-facing features and services Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Company parties Help in the relocation process Mobility subsidy Central Location Flexible Working Hours Professional training Dog-friendly office Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are.
Your Responsibilities Act as the main contact for all AutoCAD-related topics within the internal team Communicate continuously with development teams to identify new requirements and features Design, introduce, and integrate new functions into the engineering design tool architecture Develop and implement new modules and features, including testing and documentation Support development and configuration in the AutoCAD environment Provide technical support and guidance to users regarding application functionality Your Qualifications Degree in mechanical engineering, computer science, mathematics, electrical engineering, physics, or a comparable field Several years of professional experience as an AutoCAD Application Specialist or Developer Extensive experience working in agile development teams Very good knowledge of Autodesk products, especially AutoCAD and related products Experience in developing CAD interfaces (e.g.
In Deiner Rolle begleitest du unsere Kunden ganzheitlich – von der ersten Idee über die Anforderungsanalyse und das Design bis hin zur Umsetzung integrierter Planungs- und Reportinglösungen, die einen echten Mehrwert schaffen. In interdisziplinären, agilen Teams übernimmst Du Verantwortung für Teilprojekte, arbeitest eng mit den Fachbereichen Finance, Controlling und HR zusammen und sorgst dafür, dass Business und IT perfekt ineinandergreifen.
In Deiner Rolle begleitest du unsere Kunden ganzheitlich – von der ersten Idee über die Anforderungsanalyse und das Design bis hin zur Umsetzung integrierter Planungs- und Reportinglösungen, die einen echten Mehrwert schaffen. In interdisziplinären, agilen Teams übernimmst Du Verantwortung für Teilprojekte, arbeitest eng mit den Fachbereichen Finance, Controlling und HR zusammen und sorgst dafür, dass Business und IT perfekt ineinandergreifen.
Tech-Stack: Typo3 & Typo3 Extensions, PHP, JavaScript, jQuery, HTML, CSS, Next.js, Python, XML Versionskontrolle mit Git Server- und Hosting-Umgebungen, CDNs Tools: Photoshop, GIMP, diverse Testing- und Debugging-Tools Scrum, Kanban Skills: Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik, Web-Entwicklung/Software Engineering, Medieninformatik, Digitale Medien oder eine vergleichbare Qualifikation mit mehrjähriger, aktueller Erfahrung in diesem Bereich. Fundierte Erfahrung im Front-End Design und User Experience Design sowie mit modernen Front-End-Technologie und Tools. Sehr gute Englischkenntnisse in Wort und Schrift.
Exceptional problem-solving and algorithmic thinking skills, coupled with a deep understanding of software design patterns and clean code principles. Expert-level knowledge and practical experience in building modern, scalable web applications using React, TypeScript, and advanced CSS/Styling techniques.
Exceptional problem-solving and algorithmic thinking skills, coupled with a deep understanding of software design patterns and clean code principles. Expert-level knowledge and practical experience in building modern, scalable web applications using React, TypeScript, and advanced CSS/Styling techniques.