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La Data Value Chain recrute ! REJOINS L'ÉQUIPE DATA DOWNSTREAM INVENTORY MANAGEMENT Au sein de l'équipe Downstream Inventory Management, nous jouons un rôle crucial pour la supply chain de Decathlon. Notre objectif est d'identifier le niveau de stock optimale de plusieurs dizaines de millions de couples article/magasin chaque jour. Ces cibles de stock permettent le réapprovisionnement de plus de 2000 magasins dans le monde. Notre objectif est double : assurer la satisfaction client en ayant le bon produit au bon endroit, tout en minimisant notre empreinte carbone en évitant la surproduction, le surstockage et le transport inutile. Data Analyst Inventory (STAGE) Nous recrutons un.e Data Analyst en stage , basé.e à Lille. TES MISSIONS Tu compareras les méthodes de réapprovisionnement traditionnelles (formules analytiques min-max, ABC/XYZ) et les approches Data/ML (prévision quantilique, optimisation multi-échelon). Tu développeras des analyses de données pour aider la supply chain de Decathlon à prendre de meilleures décisions. Tu mèneras une étude complète de la qualité de l'inventory management des magasins Decathlon. Tu contribueras à l'implémentation de la nouvelle solution proposée. Tu participeras à la vie d'une équipe agile composée de Data Analysts,Analytics Engineers (l'équipe est jeune, sportive et basée entre Paris et Lille !). TON ENVIRONNEMENT TECHNIQUE Langages : SQL , Python (pandas, numpy, scikit-learn) Outils BI : Tableau Data Engineering : dbt , Databricks , Spark Plateformes Cloud : AWS, GCP Versioning & DevOps : Git , CI/CD, VSCode CE DONT TU AS BESOIN POUR RÉUSSIR Tu es en dernière année d'école d'ingénieur, de commerce ou en Master 2 avec une spécialisation en data ou supply chain. Tu possèdes une forte capacité analytique et une pensée créative pour résoudre des problèmes complexes , ainsi que l'aptitude à communiquer efficacement avec des parties prenantes non techniques. Tu as une première expérience significative (projets universitaires, stage ou alternance) dans un environnement similaire. Tu as une bonne compréhension des concepts liés à la chaîne d'approvisionnement et au commerce de détail (gestion des stocks, facteurs influençant la demande). Tu es capable de travailler dans un environnement internationale , la pratique de l'anglais n'a plus de secret pour toi ! Tu as une forte appétence pour le travail en équipe et une culture du partage. Tu portes un intérêt pour l' impact du sport sur le développement personnel et collectif. Tu as l'envie de rejoindre une entreprise engagée dans le Tech4Good et l'innovation responsable. POURQUOI NOUS REJOINDRE ? Chez Decathlon, nous mettons un point d'honneur à offrir un cadre de travail épanouissant et motivant. 🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees . 💰 Des avantages attractifs (après 3 mois d'ancienneté) : Primes mensuelles, intéressement, actionnariat Avantages CSE 25% de réduction sur nos produits Prise en charge de ta CVEC Remboursement de 50% du titre de transport & aide à la mobilité urbaine 🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances. ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes ! FAQ – TOUTES TES QUESTIONS Comment préparer ma candidature et comment se déroule le processus de recrutement ? 1️⃣ Lis bien l'offre et mets en avant tes expériences et compétences les plus pertinentes. 2️⃣ Personnalise ton CV pour te démarquer. 3️⃣ Après candidature, tu recevras une réponse sous deux semaines . Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier. Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ? Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d'expertise ou par le sport en général. Être étudiant chez Decathlon, c'est quoi ? C'est bien plus qu'une simple alternance ou un stage ! C'est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape. 🎯 Notre ambition ? T'offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t'accueillir en CDI à l'issue de ton stage. D'ailleurs, plus de 50% de nos étudiants rejoignent définitivement l'aventure Decathlon ! 🚀 DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France on Arbeitnow

Who We Are Limatica measures what batteries whisper. We turn the tiny voltage noise of battery cells into a quality verdict, far faster than conventional tests, and help cell manufacturers cut scrap. We are a team of twelve in Chemnitz and Munich, spanning data, ML, HPC, hardware and industrialization. Early adopters across Europe and Asia already use our technology. In 2026 we move from pilots to production lines, and our data grows faster than our team. What You'll Do Our measurement stations produce several hundred GB of high-resolution voltage data per hour. You own the step from raw signal to reliable answer. Work with novel cell noise data: Derive features from raw time series that make physical sense that hold up in production Build for streaming: Design feature computations that work in streaming mode, at a throughput of up to 10,000 measurements per hour. Make throughput a design decision: Build modular, parameterizable nodes for our distributed processing pipeline and help bring them into our Rust-based production environment. Ship modules, not scripts: Automate evaluations end to end, from raw data to reports for our engineering team and our customers. Own customer projects technically: Assess requirements, communicate interim results and findings, and turn feedback into improvements. What You Bring Measurement experience: A degree in electrical engineering (or comparable) and 3+ years with real-world measurement data. Sampling, noise, filtering and artifacts you know from practice, not just lectures. Physical intuition: You can explain why a feature makes sense, and you prefer a simple, well-understood method over a model nobody can explain. Data at scale: You think in throughput: data formats, intermediate results, distributed and cached processing. Clean engineering: Python, Git, tests and CI/CD as a matter of course. No Rust expertise needed, but the will to learn it. Customer confidence: Fluent German and English, written and spoken. You explain results clearly to engineers and managers alike. Why Limatica Real ownership: Your own part of the pipeline and your first customer project within months. As we grow, this role can grow into technical lead. Learn what few get to learn: Electrochemistry, Rust in production and data engineering at scale, with real cells and international manufacturers. Share the upside: Salary package including virtual stock options. Invest in yourself: Additional holiday for personal learning Flexibility & wellbeing: Flexible hours, hybrid work, further benefits via Guud Card and free beverages What it's like here: You get a lot of trust and a lot of room to shape things. We look for people who stay with a problem until it's solved and who enjoy the moments when a customer launch needs the whole team. Those are the moments where people here grow fastest. This role is intentionally a towards-senior position. You will take on increasing responsibility for pipeline modules and customer projects. Those who help shape the architecture and lead projects independently grow into a senior role with us. Ready to find the signal in the noise? Let's build the future of battery diagnostics together. ⚡ Find more English Speaking Jobs in Germany on Arbeitnow

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play — it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation Studios is the game development division of Sony PlayStation and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo. We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games. This role offers a flexible hybrid working arrangement, with most time spent working remotely unless you prefer to come into the office. We attend the office for key moments that matter, such as important team meetings, collaboration sessions and business activities where in-person engagement is beneficial. Role Overview: As a Lead Data Engineer, you'll work in our cross-disciplinary Data Platform team to ingest and process high-volume data. You'll work closely with our Game Analytics analysts and analytics engineers, who use this data to gain valuable insights both during game development and post-launch. As a lead, you'll scale our platform and help us define its technical direction, expand its reach, and help define and build the future of analytics for PlayStation games. What you'll be doing: Own parts of our pipeline, and drive improvements to achieve our technical and business goals. Build supporting services for our pipeline, for example working on integrations with in-game maps and video tooling. Integrate our data collection platform and our BI tools to enable studio self-service. Work closely with the Devops team, our analytics engineers, and stakeholders across the studio business group. Focus on improving data quality, lineage and observability. Support our existing tooling, improving quality and documentation. Be a technical expert and share than knowledge with your colleagues. What we're looking for: You have experience building and owning Data Pipelines for high-throughput streaming and batch data. You are adept at writing code in Go or write Python with a willingness to learn Go. You are experienced in building robust, scalable, and resilient services. You can demonstrate measurable impact that you have made in your current and previous roles. You enjoy solving data problems, and can take responsibility for quality, investigations and remediation. Experience with cloud data services. We use AWS data and analytics services, such as Amazon S3, Redshift, Kinesis, Data Firehose, Athena and AWS Glue. Nice to have: Has made use of AI during the development cycle, including use of Claude Code, Codex or other harnesses. Experience with near real-time data processing, querying and visualisation. Experience with Omni Analytics, or a similar BI tool (Looker, Tableau etc). GitHub and GitHub Actions experience. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Wil jij impact maken bij toonaangevende enterprise klanten op het gebied van Cloud technologie? Als Cloud engineer help je klanten hun digitale transformatie te versnellen door cloudoplossingen te ontwerpen, te realiseren en te optimaliseren. Je schakelt makkelijk tussen strategisch meedenken en operationele uitvoering, en werkt nauw samen met Itility's Managing Consultants en Cloud engineers. Krijg je hier energie van? Dan zijn wij op zoek naar jou! Wat jij gaat doen Je werkt in een projectteam van bevlogen professionals aan het ontwerpen, implementeren en verbeteren van Cloud omgevingen. Samen met je collega-consultants werk je aan innovatieve projecten bij grote klanten in uiteenlopende sectoren. Jouw werkzaamheden bestaan o.a. uit: Het analyseren van klantuitdagingen en vertalen naar praktische cloudoplossingen Het ontwerpen en implementeren van Cloud architecturen (bijvoorbeeld in Azure, AWS of Google Cloud) Het automatiseren van infrastructuur en applicatiebeheer met behulp van IaC-tools en CI/CD-pijplijnen Het verbeteren van bestaande Cloud omgevingen op het gebied van kosten, security, performance en beheerbaarheid Het coachen van klanten en collega's in het gebruik van Cloud technologie en DevOps-werkwijzen Het bouwen aan een duurzame klantrelatie en het signaleren van nieuwe kansen Bij Itility krijg je de vrijheid én ondersteuning om het beste uit jezelf te halen. Via onze eigen Itility Academy investeer je continu in je technische expertise en persoonlijke ontwikkeling. Daarnaast organiseert onze Cloud Community tech hours waarin we kennis delen, oplossingen en tools demonstreren, en samen specifieke certificaten behalen. Daar hoort natuurlijk ook een aantrekkelijk arbeidsvoorwaardenpakket bij. Naast een salaris dat past bij jouw ervaring, achtergrond en potentie, kun je rekenen op: Een Leaseauto met tankpas of een mobiliteitsvergoeding met kilometervergoeding; €115 onkostenvergoeding per maand; 26 vakantiedagen per jaar; 50% bijdrage aan je ziektekostenverzekering van jou én die van je partner; 60% bijdrage aan je pensioenregeling; Een variabele bonusregeling gebaseerd op jouw persoonlijke ontwikkeling en gezamenlijke successen; Laptop en telefoon; Hybride werken; Gebruik van gym op kantoor Dit ben jij Jij bent iemand die graag verantwoordelijkheid neemt, snel schakelt en altijd zoekt naar de beste oplossing. Je weet de brug te slaan tussen technologie en business, en bent in staat om complexe onderwerpen helder over te brengen. Daarnaast beschik je over: Een bachelor of masterdiploma in informatica, wiskunde of elektrotechniek Meer dan 3 jaar ervaring als Cloud consultant of engineer in een enterprise- of consultancy-omgeving Diepgaande kennis van ten minste één Cloud platform (Azure, AWS of Google Cloud) Ervaring met onderwerpen als Cloud cost control, security, networking, en monitoring Vaardigheden in scripting/automation (bijv. Terraform, ARM, Bicep, Python of PowerShell) Sterke communicatieve vaardigheden en een resultaatgerichte mindset Een geldig Nederlands of US paspoort. Voldoe je niet aan alle eisen? Solliciteer gerust. We kijken naar impact en groeipotentieel. Screening is onderdeel van deze procedure. Locatie Regio Eindhoven of Randstad Contactpersonen Tom Bressers +31 (0)6 26157261 Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. Nieuwsgierig naar onze coole initiatieven? Klik hier om meer te lezen over onze customer use cases #LI-Hybrid Find Jobs in Netherlands on Arbeitnow

Forward Deployed Engineer - AI About us We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S., Canada, and the U.K. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously. Some Recent Press: https://www.reuters.com/business/delos-data-chip-startup-founded-by-intel-veterans-raises-100-million-ai-networks-2026-09-15/ We are looking for: We are looking for a talented Forward Deployed Engineer to be embedded with one of our strategic customers running our software in production. In this role, you will work hands-on inside the customer's AI data center environment, solving hard deployment and operational problems and turning what you learn into new product features alongside our engineering team. While most of your time will go to this customer, you will also bring your field experience to future customer pursuits, contributing hands-on to RFPs, technical evaluations, and new deployments. We are looking for a "builder" who has built and run AI infrastructure at scale, ideally at a neocloud or frontier AI lab, and who thrives on solving real problems in production. Key Responsibilities Serve as the dedicated technical owner for a strategic customer's production deployment of our software. Work hands-on in the customer's AI data center environment, including GPU/XPU clusters, high-speed fabrics, schedulers, and orchestration layers. Lead integration, troubleshooting, performance tuning, and root-cause analysis for production issues. Guide the customer through software upgrades, cluster expansion, and new feature rollouts. Build runbooks, integration guides, and automation tailored to the customer's environment. Build deep working relationships with the customer's infrastructure, SRE, and platform engineering teams. Turn customer problems into clear technical requirements and work with our engineering team to design and deliver new features. Write and test code (Python, Bash, APIs) to prototype fixes, integrations, and tooling in the field. Feed structured insights on bugs, feature gaps, and competitive needs back into product and engineering, and align customer milestones with our product release cycles. Contribute hands-on technical work to RFPs, RFIs, technical evaluations, and proof-of-concept deployments for new customers. Help build reference architectures, demo environments, and technical collateral, and represent the company at customer briefings, technical workshops, and industry events as needed. Required Skills and Qualifications 5+ years in a hands-on infrastructure engineering role (forward deployed engineer, SRE, platform engineer, solutions architect, or similar) with direct customer or internal-customer exposure. Proven AI data center experience: deploying and operating GPU/XPU clusters with high-speed interconnects (InfiniBand/RoCE/Ethernet/NVLink), job scheduling, and training/inference workloads. Strong software problem-solving skills, including debugging complex distributed systems and writing production-quality scripts and tools in Python and Bash. Hands-on experience with AI infrastructure software such as Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms. Deep proficiency with Linux, containers, and APIs. Track record of working with engineering teams to define and ship features based on field needs. Clear communicator, comfortable whiteboarding with SREs and briefing senior infrastructure leaders. Willingness to work on-site with the customer and travel as needed. Desired Skills Experience as a forward deployed or embedded engineer dedicated to a single large customer. Experience taking early-stage or pre-launch products into hyperscale, neocloud, or AI lab environments. Familiarity with inference serving and performance optimization (e.g., KV-cache behavior, disaggregated serving, GPU utilization analysis). Background with observability stacks (Prometheus, Grafana, OpenTelemetry) and data pipelines for infrastructure analytics. Prior experience at an AI infrastructure software vendor, GPU cloud provider, networking vendor, or hyperscaler. Education Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. Location This role is on-site at customer's office based in Cambridge, UK. Compensation Target base salary for this role is £115k–£135k per year + equity. Our salary ranges are determined by role, level, experience, and location. We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics. Agency Note: We do not accept resumes from agencies or search firms. Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees. Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired. #LI-EW1 Find Jobs in United Kingdom on Arbeitnow

DevOps Engineer - SIP Core (Voice Platform) Help us run and evolve a mission-critical SIP platform used by business customers every day. In this role, you ensure stability and availability while actively driving automation and modernization of our voice services. You'll work in a DevOps setup with real ownership and impact — from operations to continuous improvement. What you can expect: -High-impact role on a critical VoIP platform (SIP Core / Ribbon) -Modern DevOps environment with automation and continuous improvement -Collaboration across network, architecture, and operations teams -Agile setup (SAFe) with real influence in PI Planning and execution -Room to shape and improve systems — not just operate them. What impact will you have? - Operate and improve SIP-based telecommunication backend systems - Ensure high availability, stability, and performance of voice services - Monitor systems proactively and prevent incidents - Troubleshoot complex issues and perform root cause analysis - Test and deploy updates, fixes, and improvements - Drive automation, monitoring, and operational efficiency - Contribute to capacity planning and system health checks - Maintain and improve documentation and runbooks - Participate in on-call rotation (Engineer on Duty) Must-haves: - Experience operating SIP/VoIP platforms (ideally Ribbon SIP Core ) - Strong knowledge of SIP, VoIP protocols , and secure transport (RTP, SRTP, TLS) - Solid networking fundamentals (TCP/IP, routing, switching, IPSec) - Experience with Linux systems and system operations - Hands-on mindset in troubleshooting and problem-solving - Good English skills (C1) Nice-to-haves: - Automation & DevOps tools (e.g., Jenkins, Git, Terraform, Ansible) - Scripting skills (Python, Bash) - Experience with Kubernetes / cloud environments - Familiarity with monitoring tools and ITSM / ITIL - Experience working in agile setups - German language skills Want to know more about us? We are serving the Swiss market as Switzerland's leading IT & Telecom company. Thus, we are actively driving digitalization and networking, and tapping new paths for our customers and our employees. Our values are sparking passion, aiming high and standing true. Since 2019, we have been building up the coolest DevOps Center with a wonderful office at the World Trade Center in the heart of Rotterdam. We are currently recruiting IT passionate professionals who are keen on developing high-quality software, have an agile mindset and appreciate the collaboration with motivated colleagues from all over the world. What's in it for you? Work environment Agile way of working, multi-cultural work environment promoting work-life balance Autonomy, flexibility, opportunity and growth Cool office space in the World Trade Center Rotterdam! Are you coming to the office by bike or car? You can park right here at the office Be a part of our events to build a stronger Swisscom community - for example, culture lunches, fun quizzes, game nights and a lot more! Allowances Full relocation support (Housing, settling in, etc.) for you and your family 200 euros per month Telephone/internet allowance 275 euros per month contribution to health insurance 5 Paid training days and access to Swisscom learning platforms Travel allowance reimbursement 500 euros home office allowance Gym subscription, Tax advice, and language course Salary range: 60,000 to 72,000 euros gross per year including holiday allowance Leaves policy Care, bereavement, maternity and paternity leaves 25 days paid vacation days plus Dutch national holidays Contract terms To begin with you will receive a fixed term contract (one year), after 6 months of your employment with us, after a feedback meeting with the team, there is a possibility of extending the contract The salary ranges mentioned in our Job Descriptions are base annual gross salaries including the 8% holiday allowance Since this role consists of varying seniorities, the salary range is between 60k to 75k euros gross per year, including the 8% holiday allowance Find Jobs in Netherlands on Arbeitnow

Du möchtest die Entwicklung innovativer KI-Lösungen aktiv mitgestalten? Als Senior DevOps Engineer berätst du beim Aufbau einer modernen GenAI-Plattform und bringst deine technische Expertise in deren Konzeption und Umsetzung ein. In einem interdisziplinären DevOps-Team aus Data Scientists, Business Engineers und DevOps Engineers entwickelst du gemeinsam zukunftsorientierte Lösungen und treibst den Aufbau der Plattform voran. Hauptaufgaben: Konfiguration und Verwaltung von Azure Cloud-Ressourcen insbesondere API Management, Foundry, OpenAI, AI Search, Document Intelligence sowie Kubernetes-basierten Applikationen wie Langfuse als "Infrastructure-as-Code" mit Terraform, HelmChart und Gitlab Automatisierung von Build-, Test- und Release-Prozessen für GenAI-Anwendungen (LLMOps), um häufige und zuverlässige Releases in Entwicklungs-, Test- und Produktionsumgebungen sicherzustellen Mitarbeit bei der Ausarbeitung von technischen Konzepten für die Umsetzung neuer Anforderungen an die GenAI Plattform, sowie derer laufenden Weiterentwicklung und Optimierung. Dabei sind alle Komponenten (Datenbanken, LLM-Modelle und andere AI-Services, Anwendungen), Aufwände, der laufende Betrieb mit diversen Client Applikationen und insbesondere die unternehmensweiten und regulatorischen Vorgaben zu berücksichtigen und abzustimmen. Implementierung von Mechanismen für das Monitoring und die Alarmierung (z. B. Grafana und Azure Dashboard), um die Stabilität und Effizienz der Plattform zu gewährleisten Support der Client Applikation bei konzeptionellen Fragen, Integrationen (Onboarding) sowie bei Problemen im Betrieb Überwachung der Systemleistung, Betriebszeit und Protokolle, um Probleme frühzeitig zu erkennen und zu beheben Neu- und Weiterentwicklung von code-basierten Umsetzungen für beispielweise Autorisierungsprüfung, Logging/Monitoring, Routinglogiken, Guardrails-Validierungen mit Java, Python, XML, C# (APIM Policies) Anforderungen: Fundierte Kenntnisse mit DevOps-Toolchains (z. B. Git, Gitlab, Docker, Terraform), um die Plattform Services state-of-the-art bereitzustellen und zu betreiben Tiefgehendes Wissen über Azure Cloud-Dienste: Azure API Management, AKS, Azure Functions, OpenAI, AI Search, Document Intelligence, Azure Foundry, Storage Accounts Kenntnisse im Bereich DevOps, einschliesslich der Nutzung von Monitoring-Tools (z. B. Prometheus, Grafana, Azure Monitor), Logging-Systemen und Alarmierung, um eine hohe Verfügbarkeit sicherzustellen Idealerweise Projekterfahrung mit GenAI-Technologien, einschliesslich Retrieval-Augmented Generation (RAG) und Agentic AI, sowie Erfahrung in der Optimierung von GenAI-Lösungen Fähigkeit, Konzepte und Architekturlösungen zu entwickeln und gegenüber IT-Security und Domänen-Architektur zu vertreten Fundiertes Verständnis von Authentisierung- und Autorisierungsverfahren mittels Azure EntraID, RBAC und OAuth Konzepte Kenntnisse in der Softwareentwicklung mit Python und / oder Java Generelle Rahmenbedingungen: Pensum: 100% Einsatz: ab 1. Januar 2027 bis 31. März 2028 Arbeitsort: vor Ort beim Kunden in Zürich Gute Deutsch- und Englischkenntnisse zwingend Find Jobs in Switzerland on Arbeitnow

We Are Sparta Sparta is the AI leader for commodity trading, home to Leonidas AI, the first operating system for oil and commodity traders. Backed by $42 million in Series B funding led by One Peak, with participation from returning investors FirstMark and Singular, the same investors behind AI leaders like Legora, Dataiku, and Synthesia. Most companies are building a chatbot on top of data. We've built an agent with an actual reasoning layer, grounded in years of proprietary market data and in-house trading expertise nobody else has. We're scaling fast, and it's an exciting time to join. From independents to multinationals, the world's leading commodity teams use Sparta and Leonidas AI to move faster, trade smarter, and stay ahead of the market. At Sparta, you'll be trusted to take ownership, backed by a team who wants you to succeed. AI is how we build here, not just what we sell. Good ideas move fast, and yours could go from staging to production in a couple of hours, whatever department you're in. You'll be challenged, supported, and given room to grow, building the AI that's changing how commodity trading gets done. Your work has reach. From shaping Leonidas AI, to powering smarter decisions for traders around the world, to changing how commodity trading is done. And because we're growing fast, you'll accelerate your career with a level of ownership and impact you simply won't get at bigger, slower-moving companies. At Sparta, we're on a mission to build the next generation of commodity trading platforms - replacing the fragmented tools that traders typically rely on with a single, powerful dashboard. Our product is a data-driven platform that aggregates real-time feeds from across the commodities domain, transforming them into intuitive, actionable visualisations within one unified interface. Traders act on what they see in Sparta. That makes reliability a product feature, not an afterthought - and it's why this role exists. This is a deliberate 50/50 split. Half your time is backend engineering: designing and building the distributed services and pipelines that move real-time market data through our platform. The other half is reliability engineering: making those systems observable, resilient, and cheap to operate. If you've ever shipped a service and then wished you owned how it ran in production, this is that job. We've kept the split explicit rather than tidy. Our Platform Engineering team owns the shared platform, tooling and automation; you'll be a close partner to them, and the reliability of your own services is yours. We're looking for people who thrive in an empowered environment - engineers who are comfortable being given problems to solve rather than solutions to implement. You should enjoy working at pace, value autonomy, and prefer to ask for forgiveness rather than permission. Whereas Sparta is a remote-first company, for this role we're looking for someone who values a hybrid working style, which in a typical week could involve spending a couple of days in the office - with flexibility built in. WHAT YOU'LL BE DOING: Backend engineering Design, build and maintain the backend services behind our real-time and analytical data processing. Optimise pipelines and services for low latency, high throughput and scale. Own features end to end, from shaping the approach to running them in production. Contribute to design reviews with a clear view on the trade-offs. Reliability engineering Own the operational health of your services. Define what healthy means, then measure it. Improve observability, monitoring and alerting in Datadog, so problems surface before a trader notices. Take part in incident response, then close the loop on the root cause. Work with our runtime across Lambda, ECS and EKS, and help move more workloads onto Kubernetes. Help operate the data and streaming infrastructure you depend on: Kafka, Flink, Redis/Valkey, RDS, Redshift. Extend our infrastructure as code in AWS CDK, and our CI/CD pipelines. Reduce toil. Automate the manual, delete the unnecessary, make the next incident less likely. ABOUT YOU: 4+ years as a software or reliability engineer, with production systems you've built and supported. High ownership tendencies. Genuine interest in both halves of this role. You want to write the service and own how it runs. Strong in at least one of Kotlin, Java, Python or TypeScript. A solid working understanding of AWS - compute, networking, storage, IAM - from running things in production. Hands-on with infrastructure as code: AWS CDK, Terraform, CloudFormation or similar. Practical experience running container workloads on Kubernetes: deploying, debugging, tuning. Experience with CI/CD tooling and a clear view of a good delivery lifecycle. A habit of instrumenting what you build - metrics, logging, tracing. Experience being on the hook for production, incident response included, and calm when things are on fire. Experience defining or working to service-level objectives, or a clear sense of how you'd start. A strong urge to own and improve things - to spot what isn't working and fix it. Comfortable with agent-based development tools. We use Claude Code; any equivalent is fine. A clear communicator and a pragmatic problem-solver. NICE TO HAVE EXPERIENCE: Building or operating a platform on Kubernetes, EKS especially. Datadog specifically. Data or streaming systems: Kafka, Flink, Redshift, clustered Postgres. Working to error budgets, and using them to make real prioritisation calls. Security and compliance best practice in cloud environments. Complex distributed environments - high throughput, low latency, large datasets. Any exposure to commodities, energy or financial markets. Useful, but we'll teach you the domain. Why Join Sparta? At Sparta, our culture is built on innovation, collaboration, and high performance. We thrive in a fast-paced environment where initiative is celebrated, challenges are embraced, and impact is rewarded. • Equity in a high-growth, VC-backed company • $42M in Series B funding — strong market traction and investment • Early-stage growth — build your career as we scale • Market-leading product — we are redefining commodity trading intelligence • Top-tier tools and technology to support your success What's the Culture Like at Sparta? At Sparta, our culture isn't just a set of values on a wall — it's how we work. We embrace a dynamic environment where initiative is celebrated, challenges are met head-on, and innovation thrives. You'll collaborate with people who are passionate about our mission and committed to building outstanding products and outcomes for our customers. The Sparta Code Understanding is non-negotiable Understanding leads to believing. Believing leads to winning. The 'why' is the difference between compliance and conviction. Before we execute, we ask: why does this matter, who does it serve, what changes if we win? People who understand the mission don't need to be managed. Ask for forgiveness, not for permission Most decisions are reversible. Most fears are not. 90% of decisions are reversible. Make them, ship, iterate. Perfection is the enemy of efficiency. Bias for action means moving before you have all the answers, but it isn't recklessness. The rule: tell the rest of us what you did, what changed, what you learned. Fall in love with the problem The mission wins. Your idea doesn't have to. Solutions flatter our ego. They feel like progress. But solutions without problems are opinions, and opinions don't move customers, markets, or teammates. The goal is to find what's true, not to win the room. If your idea gets killed because a better one comes along, that's the system working. It's your fault. Lucky you. If it's on you, it's in your control. True ownership sounds harsh until you feel how liberating it is. If every problem is yours, you stop spending energy on who to blame and start spending it on how to fix it. Effective leaders default to 'it's on me'. Not out of guilt, but out of agency. Conflict is a gift Honesty is an expression of care. Withholding feedback is choosing comfort over growth, yours and your colleague's. Staying silent deprives others of the chance to learn. We challenge openly and with positive intent. Done with care, this builds trust. Done with ego, it destroys it. Sparta Commodities is proud to be an equal opportunity employer and promotes diversity within its workforce. We are determined that no-one will ever receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any basis covered by appropriate law. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About myTomorrows myTomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options. We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options, and the companies who develop them. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and BioPharma – connecting key stakeholders in the drug development ecosystem. We've developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection. With a global footprint spanning 134 countries, to date we've supported over 17,000 patients, 3,000 physicians and 350 sites, earning the trust of 60+ BioPharma companies. In October 2025, we closed a €25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business. Join us in shaping the future of treatment access - making tomorrow's therapies accessible for people who need them today. The opportunity: Full Stack Engineer As a Full Stack Engineer, you will take primary ownership of our frontend experience while being capable of making the backend changes needed to unblock yourself and your team. You'll work closely with Backend Engineers, DevOps Engineers, and stakeholders to deliver scalable, reliable, and high-performance products end-to-end, from pixel to API. Given that most of our team is located in the Netherlands, we only consider candidates for this position who live within commuting distance of our office in Amsterdam. What you'll do in this role Design, develop, and maintain frontend components in Angular (and Lit HTML where applicable), ensuring optimal performance, responsiveness, and usability. Own the integration layer between frontend and backend: consume and contribute to OpenAPI-defined APIs, handle data contracts, and wire up microservices cleanly. Make targeted backend changes, new endpoints, tweaks to existing services, minor data model updates, so you can ship features without always depending on a dedicated backend engineer. Contribute to architectural discussions across the full stack, from UI component structure to API design and data access patterns. Participate actively in code reviews, providing feedback on both frontend and backend code quality, adherence to standards, and performance. Mentor and support junior engineers across the stack. Stay current with evolving frontend and full-stack best practices. What you bring to the table 3+ years of experience in frontend or full stack engineering. Strong proficiency in Angular and experience with component-based frameworks such as Lit HTML. Solid understanding of responsive design, UX/UI principles, and a keen eye for design detail. Proven experience integrating with APIs and microservices, you understand HTTP, REST conventions, auth flows, and error handling deeply. Working proficiency in Python, enough to navigate a FastAPI codebase, add or adjust endpoints, and write Pydantic models and SQLAlchemy queries. Familiarity with relational databases (MySQL/PostgreSQL) at the query and schema level. Experience with containerised workflows using Docker. Excellent problem-solving skills; comfortable working independently and collaboratively. Strong English communication skills and ability to work across disciplines. Comfortable using AI-assisted development tools (e.g. Claude Code, Cursor, or similar) as part of daily workflow. Familiarity with LLM API integration (OpenAI, Anthropic, or similar) and an understanding of the UX patterns specific to AI-powered features. What success in the first 6 months looks like You've built trust with Backend, DevOps, and Product peers and taken clear ownership of 2–3 frontend domains, including their design system consistency and API integration contracts. You've delivered frontend features end-to-end, from UX design discussion through Angular implementation, API wiring, tests, and documentation, without needing hand-holding at either layer. You've unblocked yourself (and others) by making safe, well-reviewed backend changes: adding an endpoint, adjusting a response model, or optimising a query, rather than waiting in a queue. You've raised frontend quality: responsive across devices, accessible, consistent with our design system, and validated against real API contracts rather than mocks. You've contributed to meaningful observability on the frontend, error tracking, performance budgets, and linked them to backend SLIs where relevant. You've shared knowledge through documentation, code reviews, and mentoring, so the team's frontend capability grows with you. Current tech stack We're fully cloud-native on AWS, with a lean, API-first product development approach. Frontend: Angular · Lit HTML · Headless Wagtail · WordPress Backend: Python · FastAPI · Pydantic · SQLAlchemy · MySQL · Neo4j Platform: AWS · Kubernetes · Terraform · Docker · GitHub Actions · ruff · UV · pre-commit · Renovate Our platform runs on Kubernetes-managed services and Terraform for infrastructure as code. We continue expanding capabilities in knowledge graphs (Neo4j) and modern data access patterns. What we offer: Impactful work that helps patients gain access to potentially lifesaving treatments. International work environment, scale-up energy and a flat organizational structure that encourages creativity and accountability. Competitive salary, annual performance bonus and an Employee Stock Option Plan. Great career development opportunities in a fast-growing company. Learning and development budget alongside internal knowledge sharing sessions. Attractive pension plan, full premium covered by myTomorrows. Hybrid working model. Policies to support working parents. Healthy lunch at the thriving Amsterdam office. Unlimited access to professional guidance by certified psychologists via OpenUp Enjoy monthly events hosted by our vibrant Culture Club as well as an annual 'myTomorrowland' company-wide celebration! Equal opportunities myTomorrows is an Equal Opportunity Employer and, beyond upholding discrimination-free practices, we are committed to cultivating a workplace where difference and diversity are protected and celebrated. The best work comes from our best selves, and we go to great lengths in supporting our team members to be just that. Find more English Speaking Jobs in Netherlands on Arbeitnow

Für unseren Kunden suchen wir einen erfahrenen Senior Python Backend Engineer / Software Architect (m/w/d) mit fundierter Expertise in der Entwicklung moderner, skalierbarer Microservices und eventgetriebener Softwarearchitekturen. In dieser anspruchsvollen Rolle übernimmst du technische Verantwortung für die Konzeption, Entwicklung und Weiterentwicklung cloudnativer Backend-Lösungen. Du bringst deine Architekturkompetenz aktiv ein, etablierst Best Practices und unterstützt das Entwicklungsteam bei der Umsetzung hochwertiger Softwarelösungen. Konzeption, Entwicklung und Weiterentwicklung skalierbarer Backend-Anwendungen mit Python, FastAPI und FastStream Design und Implementierung von Microservices und eventgetriebenen Architekturen mit Apache Kafka Erstellung und Weiterentwicklung von Softwarearchitekturen unter Berücksichtigung von Skalierbarkeit, Wartbarkeit und Performance Entwicklung, Integration und Optimierung von REST-APIs sowie Umsetzung moderner API-Management-Konzepte Deployment und Betrieb containerisierter Anwendungen auf Kubernetes und OpenShift Sicherstellung hoher Codequalität durch Clean Code, Clean Architecture, Domain-Driven Design (DDD) und automatisierte Tests Durchführung von Code Reviews sowie Definition und Etablierung technischer Entwicklungsstandards Weiterentwicklung und Optimierung von CI/CD-Pipelines und Entwicklungsprozessen Technische Begleitung und fachliche Unterstützung anderer Entwickler Enge Zusammenarbeit mit agilen, interdisziplinären Teams Exzellente Kenntnisse in Python und modernen Python-Frameworks, insbesondere FastAPI Praktische Erfahrung mit FastStream und eventgetriebenen Architekturen Sehr gute Kenntnisse in der Entwicklung und im Betrieb von Microservices Fundierte Erfahrung mit Apache Kafka Mehrjährige praktische Erfahrung mit Kubernetes und OpenShift Sehr gute Kenntnisse im API-Management sowie im Design und in der Entwicklung von REST-APIs Erfahrung in der Konzeption, Erstellung und Bewertung von Softwarearchitekturen Nachweisbare Erfahrung mit Code Reviews und der Etablierung von Entwicklungsstandards Fundierte Kenntnisse in Clean Architecture, Clean Code, Domain-Driven Design und Testautomatisierung Sehr gute Kenntnisse in Git und modernen CI/CD-Prozessen Erfahrung mit agilen Entwicklungsmethoden wie Scrum und Kanban Ausgeprägte analytische und kommunikative Fähigkeiten sowie hohes Qualitätsbewusstsein Sehr gute Deutsch- und gute Englischkenntnisse Find Jobs in Switzerland on Arbeitnow

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll turn raw, messy data into insights to tackle the big questions: What is changing in how people find and enjoy media? Why do some bets work and others not? And where is our next opportunity? We sit on a lot of data we do not use yet, and you are the person who turns it into decisions. You work fully autonomously alongside our founder and the team, next to a backend engineer who owns the pipelines and infrastructure, so your time goes into the questions rather than the plumbing. We will walk you through exactly what we are building as you go through the process. On a typical day, your tasks may include: New data sources: finding and opening up new sources that help us make better decisions Trends and audiences: analyzing trends, audience behavior and performance to find the next growth opportunity, and proposing the next step Prediction: prototyping and deploying ML models on AWS for forecasting and content analysis, and checking whether they hold up in production Experiments: designing and reading A/B tests, holdouts and spend experiments across our products and campaigns, and telling the team where the next dollar should go Numbers people trust: owning the dashboards and reports leadership runs on, and investigating what really drives a metric when it moves AI-native workflows: using LLMs and agentic coding tools to accelerate data cleaning, analysis and reporting Who you are We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You don't just build models: you solve business problems and translate statistical findings into actions the team takes. Typically, your profile will look like this: Background: a degree in Data Science, Statistics, Computer Science, Physics, Math or a related quantitative field Experience: 3 or more years of hands-on data science in fast-paced business environments, at Tier 1 consultancies, Big Tech, high-growth start-ups and scale-ups, or media industry leaders Python: expert-level proficiency with the standard data science and ML frameworks, and SQL as a daily tool Data acquisition: you have brought new raw data sources into use and made them reliable enough to decide on Statistical rigour: you design and read experiments properly, you know when a signal is noise, and you have run A/B tests or causal analyses that changed a decision Models in production: you have deployed models that people actually used, and you know what it takes to keep them honest over time AI-native: extensive hands-on experience with agentic coding tools and LLMs in your data workflows From data to decision: you find the opportunity in the data and propose the next step, and your dashboards and visualizations (standard libraries or Tableau) are the ones leadership trusts Collaboration: you work well across engineering, product and business teams, and colleagues would describe you as hard-working, ambitious and persistent Pace: you thrive in a fast-paced and performance-oriented environment A big plus: you're obsessed with music, video or social media What makes this exciting You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call, getting to know you Case interview: 90-minute case discussion, present and debate your skills Founder interview: 90-minute interview with our CEO, going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find Jobs in Germany on Arbeitnow

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Everything we ship runs on data, and the systems that collect, move and store that data need an owner. As Backend Engineer for Data and Orchestration, you take a data platform that grew fast and turn it into one system the whole company can rely on. You keep it running, you keep it clean, and you make it simpler every month. This is not a pure ETL or warehouse role: you work across the pipelines and the backend services they depend on. We will walk you through exactly what we are building as you go through the process. On a typical day, your tasks may include: Data collection: keeping our external data integrations reliable as sources and APIs change Pipelines and storage: owning our event-driven pipelines end to end, from orchestration (Airflow, Dagster or similar) to databases and warehouses, built to survive failures and to keep costs in check Monitoring and reliability: building the monitoring and alerting (Datadog or similar) that keeps our services and integrations healthy, and the checks on freshness, volume, schema and values that catch a wrong number before anyone downstream notices Backend services: working on the production services and APIs our data flows through, including our JavaScript backends Infrastructure and security: owning CI/CD, infrastructure as code and cloud for our data systems, plus access and secrets: who and what can reach which system, including AI tools Simplification: consolidating what grew fast into one documented system, and removing what is no longer needed Working across the team: explaining what the data can and cannot do to non-technical colleagues, and guiding junior engineers as the team grows Who you are We are looking for an engineer who runs what they build, and builds things that keep running. You have operated real production systems in a small, fast-moving company, and people trust you with them. Typically, your profile will look like this: Experience: 3 to 10 years of hands-on engineering, most of it in small or fast-growing companies where you owned production systems yourself rather than handing them to a platform team Python and backend: advanced Python, including async code and long-running data jobs, and enough backend experience to work on production services and APIs, including basic JavaScript or TypeScript backends External data: you have kept third party data integrations reliable in production, and you know how to handle rate limits, retries and changes without notice Pipelines and storage: you have designed and run event-driven, fault-tolerant pipelines handling millions of records a day, with Airflow, Dagster or task queues, on databases such as Postgres, ClickHouse, MongoDB or Redshift, and you know what they cost to run Data reliability and monitoring: your systems report their own problems through freshness, volume, schema and value checks, and you use Datadog or an equivalent to keep services and integrations reliable, because a wrong number that nobody noticed is the outcome you design against Infrastructure and security: you are comfortable with Docker, Terraform, CI/CD and cloud, and ideally you have run an access review and set up role-based access and secrets management Ownership and communication: you have owned a messy data setup end to end at a smaller company and left it simpler, documented and maintainable; you explain trade-offs to non-technical colleagues, push back when it matters, and have guided junior engineers or led a small team Engineering fundamentals: you learned to build solid systems before AI coding tools were everywhere, and today you use them to go faster, not to replace that judgment; you ship fast, keep the codebase clean, and take the time to understand the context before you build Pace: you thrive in a fast-paced and performance-oriented environment What makes this exciting Our data systems feed everything the company does, and you own them outright. You are not maintaining someone else's legacy: you decide how these systems should work and you make them work that way. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call - getting to know you Case interview: 90-minute case discussion - present and debate your skills Founder interview: 90-minute interview with our CEO - going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find more English Speaking Jobs in Germany on Arbeitnow