Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl. Design und Vorschriften beheben Arbeitsaufträge für Nichtkonformitäten erstellen Recherche zu Zeichnungen, Referenzen, Teilen, Werkzeugen und Dokumentationen in IT-Systemen Dokumentation und Beauftragung offener Restarbeiten am Bauplatz oder in Flugzeugsektionen Ihr Profil: Erfolgreich abgeschlossenes technisches Studium, abgeschlossene Ausbildung (z.B.
Ihre Aufgaben: Wiederkehrende technische Probleme erkennen, analysieren und lösen Optimierung der Arbeitsergebnisse durch Planung, Produktionssteuerung und Prozessgestaltung Erreichen der Bereichsziele und kontinuierliche Prozessverbesserung Nichtkonformitäten in der Produktion bzgl. Design und Vorschriften beheben Arbeitsaufträge für Nichtkonformitäten erstellen Recherche zu Zeichnungen, Referenzen, Teilen, Werkzeugen und Dokumentationen in IT-Systemen Dokumentation und Beauftragung offener Restarbeiten am Bauplatz oder in Flugzeugsektionen Ihr Profil: Erfolgreich abgeschlossenes technisches Studium, abgeschlossene Ausbildung (z.B.
Responsibilities Full ownership of app marketing campaigns (Facebook, Instagram, Google, Apple) from strategy to execution Define, monitor, and analyze KPIs (e.g., ROAS, CPI) to enable data-driven decisions Manage budgets, forecast performance, and scale campaigns to maximize results Run analyses, A/B tests, and experiments to drive continuous optimization Track industry trends and identify growth opportunities with strategic initiatives Collaborate with Design, Media, Analytics, and Tech teams on creatives and automation Mentor junior team members and share best practices Requirements Degree in business administration or related field (e.g., media management, e-commerce) 1.5+ years of experience in app marketing, ideally in a fast-paced environment Strong analytical skills with ability to interpret data and derive actionable insights Knowledge in app marketing, including campaign setup & targeting; Paid Social (e.g., Meta Advantage+ catalogue ads) is a plus Hands-on experience with Adjust, Meta Business Manager, Google Ads, Apple Search Ads, App Stores, Smartly or similar tools Excellent English skills, both written and spoken Benefits Hybrid working Täglich frisches Obst Sportkurse Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Company Events Relocation Unterstützung Mobilitätszuschlag Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad 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.
Ihre Aufgaben: Absicherung der Quick Response Elektrik Themen Beauftragung von Nonconformitys (NCs) und Design query notes (DQNs) im Planungssystem Elektrik (PSE) Erstellung von Arbeitsplänen Prüfung von Variantengültigkeiten im Rahmen der TAKSY-Software Unterstützung bei der Prozessoptimierung in dem Bereich Produktion Erstellen von Paras für FAL TLS / China / Mobile Ihr Profil: Ein abgeschlossenes Studium in den Bereichen Elektrotechnik, Maschinenbau oder ein technisches Studium Berufserfahrungen in den Bereichen Elektrotechnik/Elektronik sowie Manufacturing Engineering IT-Kenntnisse in SAP sowie Google Workspcae von Vorteil Verhandlungssichere Deutsch sowie Englischkenntnisse Die Fähigkeit, technische Zusammenhänge und Funktionsweisen im Bereich der Elektrik (ATA928 und ATA929) schnell zu erkennen und zu analysieren Bereitschaft zu Schichtarbeit (2-Schicht) Selbstständiges, strukturiertes und ergebnisorientiertes Arbeiten, um Ziele termingerecht zu erreichen und Arbeitsabläufe effizient zu koordinieren Ausgeprägte kommunikative Fähigkeiten, um mit Ansprechpartnern aller Ebenen zusammenzuarbeiten Was wir Ihnen bieten: Einen festen Arbeitsvertrag nach DGB/GVP-Tarifvertrag Eine übertarifliche Vergütung, zzgl.
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
Aufgaben: Konzeption, Implementierung und Test von Software-Komponenten für Transmitter und intelligente Sensoren zur Analyse in industriellen Einsatzbereichen Entwicklung in den Bereichen Sensorik, Kommunikation (Feldbusse, TCP/IP, Wireless, etc.), sowie Anbindung an mobile Apps Qualitätssicherung in agiler Teamarbeit durch Code-Reviews und Pair-Programming Anforderungen: Erfolgreich abgeschlossenes, technisch orientiertes Hochschulstudium Fundierte Software-Entwicklungserfahrung in C, idealerweise auch Erfahrung C++11 oder C++14 Begeisterung für Softwaredesign, Softwareentwicklung und Embedded Systeme Idealerweise Knowhow im Design und in der Auslegung von Echtzeitsystemen Kenntnisse im Umgang mit den Entwicklungswerkzeugen Git, Google Testframework, Jira und Enterprise Architekt Sehr gute analytische Fähigkeiten, ein hohes Maß an Verantwortungsbereitschaft, Eigeninitiative und Kreativität Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift Unser Angebot: Unbefristeter Arbeitsbvertrag Attraktive Vergütung mit betrieblicher Vorsorge und Bonuszahlungen Einführung und Schulung in Objektorientierung mittels C++ Strukturierte Einarbeitung und kontinuierliche Fortbildung für die fachliche und persönliche Weiterentwicklung Herausfordernde und abwechslungsreiche Projekte, welche teilweise im Homeoffice bearbeitet werden können
Du verfügst über fundiertes Verständnis moderner Softwarearchitektur (z. B. Microservices, Domain-driven Design, Event Sourcing). Du hast fundierte Kenntnisse in mindestens einer modernen Programmiersprache (z. B. Kotlin, Java). Du bringst Erfahrung im Umgang mit Cloud-Plattformen (z.
Knowledge of ME Methods & Tools: Methods: WPR, industrial process design, industrialization, Jigs & Tools (J&T), time studies and calculation (e.g. PERT, MTM-STV Airbus). Tools & Systems: SAP (PP/PM), PLM systems (Zamiz, TiCon, TAKSY, DocMaster/ECM), Delmia/Apriso, Google Workspace, Microsoft Office.
Knowledge of ME Methods & Tools: Methods: WPR, industrial process design, industrialization, Jigs & Tools (J&T), time studies and calculation (e.g. PERT, MTM-STV Airbus). Tools & Systems: SAP (PP/PM), PLM systems (Zamiz, TiCon, TAKSY, DocMaster/ECM), Delmia/Apriso, Google Workspace, Microsoft Office.
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.
Your Responsibilities: Lead and execute high‑impact logistics projects aimed at continuously improving and standardizing 10 global warehouses, transportation networks, and repair operations Drive the physical transformation of sites by managing space development, layout optimization, and material‑flow design Implement modern solutions by overseeing the selection and introduction of best‑in‑class storage systems, transportation technologies, and material‑handling equipment Your Qualifications: Completed degree in Business Administration, Supply Chain / Logistics, or a comparable qualification Professional experience in Project Management and Supply Chain / Logistics Hands‑on experience in designing, implementing, and improving warehouse material flows, storage systems, and material‑handling equipment (mandatory) Proven success in leading cross‑functional and transnational project teams within a complex matrix organization (required) Expertise in end‑to‑end project management — from initiation and planning through monitoring, control, and project closing (mandatory) Experience working with Google Workspace Business‑fluent English skills and advanced German language skills Strong communication, interpersonal, and leadership abilities with the capability to influence and collaborate across diverse teams Demonstrated ability to develop compelling business cases, lead milestone/gate reviews, and manage project financials Strong analytical skills Willingness to travel worldwide Wir freuen uns auf Ihre aussagekräftige Bewerbung
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.
Your Responsibilities: Support the resolution of complex quality issues and continuous improvement projects by defining measurement standards and identifying/facilitating improvements to increase: Process performance and product adherence to standards Reliability of dedicated processes Repeatability of processes during the initial design phase, prior to any process changes, and continuously throughout the product lifecycle Support Quality focal points for new development projects Support APQP deployment within the Quality scope Facilitate PFMEA (Process Failure Mode and Effects Analysis) Support the development of quality solutions/technologies within new development initiatives together with subject‑matter experts Support quality stream meetings and coordinate activities between sites and organizations Process Quality Management: Ensure consistent application of process management guidelines in line with the EN9100 standard Ensure the process referential (competences, resource models, documentation plan, process networks, deployment areas) is up to date, managed, and continuously improved Proactively support the Process Management Teams in managing the process referential and improving process maturity Ensure that any process change is properly addressed by checking the consistency of the changes and their impacts Collaborate with local and central Process Management Teams to improve Airbus Business Process Management Ensure implementation and effectiveness of process adherence by monitoring progress and collecting adherence results Ensure the quality of process deliverables and surveillance plans, and review process resources, performance indicators, compliance results, etc.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals. Nice to have Experience in Web Development DevOps experience (e.g.
Strong communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals. Nice to have Experience in Web Development DevOps experience (e.g.
Diese Position ist ein wichtiger Schritt in unserem kontinuierlichen Wachstum und bietet spannende Möglichkeiten für engagierte Talente. ------ Deine Aufgaben Dimensionierung, Design, Aufbau, Überwachung und Betrieb unserer Plattform-Architektur Entwicklung, Optimierung und Wartung unserer CI/CD-Pipelines zur Vereinfachung der Anwendungsentwicklung Aufbau und Überwachung von Logging- und Monitoring-Lösungen zur frühzeitigen Problemerkennung Überwachung der Umgebungen zur Erkennung von Abweichungen und Ableitung entsprechender Optimierung-Maßnahmen im Deployment Enge Zusammenarbeit mit Entwicklungsteams zur Optimierung der Deployment- und Infrastrukturprozesse ------ Deine Qualifikation Umfangreiche Erfahrung in der Container-Orchestrierung mit Kubernetes und Serverless-Systemen auf Cloud-Diensten wie AWS, Azure oder Google Cloud Tiefgehendes technisches Verständnis von Infrastructure as Code (IaC) unter dem Einsatz von Automatisierungstools wie ArgoCD, GitHub Actions, AzureDevOps, Ansible oder Terraform Sicherer Umgang in Skriptsprachen im Cloud-Kontext (TypeScript, Bash, Python) Ausgezeichnete Kommunikationsfähigkeiten und die Fähigkeit, technische Konzepte effektiv zu vermitteln Übernahme von Verantwortung und ein hohes Maß an Problemlösekompetenz ------ Unser Angebot Professionelle Einarbeitung und begleiteter Onboarding-Prozess Arbeitsplatz in Reutlingen und mobiles Arbeiten JobRad und Corporate Benefits Kostenlose Getränke ------