ictjobs (Stellenmarkt)

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    "title": "Développeur CAO/FAO (H/F)",
    "description": "Rejoignez ictjobs (Stellenmarkt) en tant que Développeur CAO/FAO (H/F) a Genève 26.\n\nIntroduction\nPour notre division\nSystèmes d'Information\n, nous recherchons un\nDéveloppeur CAO/FAO - Java / Intégration / Kubernetes (H/F)\ndont la mission principale sera de maintenir, faire évoluer et sécuriser des solutions CAO/FAO avec une forte composante Java, dans un environnement technique exigeant et connecté au système d'information (SI).\nResponsabilités\n• Vous assurez la maintenance corrective et évolutive d'applications principalement développées en Java, en garantissant leur robustesse au quotidien\n• Vous imaginez et mettez en oeuvre des architectures solides, maintenables et sécurisées, pensées pour durer\n• Vous intégrez nos applications avec l'écosystème existant, en veillant à la cohérence globale du SI\n• Vous contribuez activement aux mises en production, notamment sur des environnements Kubernetes, en appliquant les meilleures pratiques DevOp\n• Vous décryptez les besoins métiers et diagnostiquez les incidents applicatifs pour proposer des solutions pertinentes et durables\n• Vous participez activement à l'élévation du niveau de qualité du code, des pratiques de développement et des processus de delivery au sein de l'équipe\n• Grâce à votre solide maîtrise de Java, vous pourrez ponctuellement venir en renfort d'autres équipes du service, dans un esprit de collaboration et d'entraide.\nProfil\n• Expérience d'au moins 5 ans dans un poste lié à du développement informatique\n• Expérience et connaissance des processus industriels : un sérieux atout\n• Très bon relationnel avec les clients, utilisateurs et membres de l'équipe\n• Expérience confirmée en Agile, idéalement en Kanban\n• Autonomie dans l'analyse, le développement et la livraison d'applications en Java\n• Forte maturité sur la qualité du code, la maintenabilité et les bonnes pratiques de développement\n• Sensibilité forte à la sécurité applicative\n• Expérience en intégration applicative et systèmes interconnectés\n• Maîtrise ou bonne expérience des chaînes de CI/CD\n• Connaissance opérationnelle du déploiement sur Kubernetes\n• Capacité à intervenir ponctuellement en renfort sur la maintenance d'applications écrites en Python, en C, ou en .NET\n• Capacité à rédiger des tests automatisés avec Bruno, Playwright ou Eggplant\nConclusion\nNous vous proposons un environnement stimulant, des conditions de travail attractives, des dispositifs de flexibilité et des prestations sociales de premier ordre.\nMerci d'adresser un dossier de candidature complet (CV, lettre de motivation, diplômes, certificats).\nArbeitsort\nGenève 26\nRolex SA\nRue François-Dussaud 3-5-7\n1211 Genève 26\n\nCe poste est a pourvoir rapidement. Candidatez sans tarder.",
    "datePosted": "2026-09-15",
    "validThrough": "2026-10-15",
    "employmentType": "FULL_TIME",
    "url": "https://ch-jobs.com/job/d-veloppeur-cao-fao-h-f-1",
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    "@id": "https://ch-jobs.com/job/sr-specialist-scientific-data-engineering-100#jobposting",
    "title": "Sr Specialist Scientific Data Engineering 100%",
    "description": "ictjobs (Stellenmarkt) est a la recherche d'un(e) Sr Specialist Scientific Data Engineering 100% pour son site de Lausanne 26.\n\nStrategic Research Operations\nWelcome to Nestlé Research, a global organization, with most of our passionate team located in Lausanne, Switzerland! Our work is powered by five specialized Nestlé Institutes and key strategic units. Here, we embrace fresh thinking and collaborate to create amazing solutions. How about taking a step inside our organization and discover the exciting research activities and expertise that drive us forward?\nWant to learn more\n!\nAt Nestlé Research, we place\npeople at the core\nof everything we do, driven by a passion for innovation that inspires us to embrace change. Our commitment to\nstaying at the forefront of science\nallows us to make a\nmeaningful impact on our world\n, fostering a culture of\ncreativity and growth\n. Join us in our mission\nto inspire people\nand\nignite innovation\nas we work together to shape a better future.\nPosition Snapshot: Your opportunity to\n#breakthrough\nwith us!\nLocation: Nestlé Research, Lausanne, Switzerland\nBusiness Unit: Strategic Research Operations, Computational Science Department\nCompany: Société des Produits Nestlé S.A.\nAct. Rate: Full-Time Act. Rate 100%\nType of contract: Permanent\nWhat we offer at Nestlé\n• Exciting opportunities to develop your career your way\n• Flexible working arrangements - facilitating creativity and collaboration.\n• A culture of respect, with diversity, equity and inclusion at its core.\n• A dynamic international environment empowering you to learn, develop and grow.\nDon't hesitate to connect with us during the recruitment process to learn more\nPosition Summary\nWithin our Computational Sciences department, as a\nSenior Specialist Scientific Data Engineering\nyou will be responsible for delivering advanced data engineering capabilities to support Nestlé Research projects. Your main objective will be to design, build, and optimize robust data pipelines and architectures that enable efficient data access, integration, and analysis across diverse scientific domains (e.g., plant sciences, clinical research, and pet health and nutrition). You will play a key role in enabling data-driven research by ensuring high-quality, scalable, and secure data infrastructure.\nA Day in the Life of a Senior Specialist Scientific Data Engineering\n• Design and implement end-to-end scientific data pipelines, e.g. for Bioinformatics or Clinical or Omics, including data ingestion, transformation, storage, and analytics layers, tailored to scientific research use cases.\n• Develop and deploy scalable data architectures on premise (Linux) or cloud platforms, ensuring performance, reliability, and compliance with data governance standards.\n• Onboard and drive external developers as well as team up with other internal data specialists (data architects, data scientists, AI engineers, software developers...) to accelerate delivery in priority projects.\n• Work in cross-functional project teams in a research environment to define project objectives and deliverables, evaluate the need and identify the right technical approaches to solve business need.\n• Partner with other teams to gather functional requirements, and improve data quality, metadata management, and data discoverability.\nWhat Will Make You Successful\n• Bachelors or Master's or PhD in Bioinformatics, or Computer Science combined with life sciences or a related field\n• Significant professional experience - 7+ years - in designing and implementing data pipelines and architectures, in a research or scientific context, ideally in food or pharma industry\n• You have the following expertise and technical skills:\n• Proficiency in data modeling, ETL/ELT processes, and distributed data systems.\n• Proficiency in Python and SQL for data manipulation and pipeline development.\n• Solid parcours professionnel with cloud platforms (e.g., Azure) and orchestration tools (e.g., Airflow, ADF).\n• Solid parcours professionnel with data lake and data warehouse technologies (e.g., Snowflake, DBT).\n• Experience working with Linux and container technologies (e.g., Openshift, Docker, Podman).\n• Experience with development frameworks (e.g., Agile, DevOps, Git, CI/CD).\n• Expertise with Bioinformatics or Clinical or Omics data pipelines\n• Background coding with AI assistance (e.g., GitHub copilot)\n• Awareness of agentic architecture frameworks\n• Experience collaborating with external teams and driving project streams through others to deliver results\n• Expertise in mentoring and guiding junior internal resources\n• Excellent problem-solving, strong communication, stakeholder management and knowledge sharing skills\n• Fluent spoken and written English\nExciting Opportunity Ahead! After submitting your application, you will receive an invitation to create a short video introduction, guided by a few specific questions. This is your chance to showcase your ",
    "datePosted": "2026-07-20",
    "validThrough": "2026-08-19",
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