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Zie jij snel welke data nodig is om een businessvraag te beantwoorden? Als Data Analist binnen het Data & AI Office analyseer je data, vertaal je vraagstukken uit de business naar concrete inzichten en help je collega's om die inzichten te gebruiken voor betere beslissingen. Ook onderzoek je waar AI waarde kan toevoegen en werk je mee aan praktische toepassingen die de manier van werken verbeteren. Je bent de schakel tussen de business en de specialisten binnen Data & AI. Daarmee zorg je ervoor dat goede ideeën niet blijven hangen in analyses of experimenten, maar leiden tot oplossingen die medewerkers daadwerkelijk gebruiken en die waarde opleveren voor onze leden. Wie ben jij Jij bent analytisch sterk en oprecht nieuwsgierig naar wat er binnen de business speelt. Je neemt geen genoegen met de eerste vraag, maar onderzoekt welk probleem er werkelijk moet worden opgelost en welke informatie nodig is om een goede beslissing te nemen. Je kunt schakelen tussen verschillende werelden. Je begrijpt de taal van de business, werkt zelf ook graag met data en kan goed samenwerken met technische dataspecialisten. Je hoeft niet zelf ieder model of datapipeline te bouwen, maar je begrijpt voldoende van data en AI om mogelijkheden te herkennen, inhoudelijke vragen te stellen en resultaten kritisch te beoordelen. Je communiceert helder en overtuigend. Je kunt complexe analyses eenvoudig uitleggen en helpt collega's om inzichten en AI-oplossingen op een goede manier toe te passen. Daarbij ben je organisatiesensitief, verbindend en resultaatgericht. Je neemt eigenaarschap en blijft betrokken totdat een oplossing daadwerkelijk wordt gebruikt en waarde toevoegt. Wat neem je mee? hbo- of wo-werk- en denkniveau, bij voorkeur met een opleiding in Data Analytics, Business Analytics, Econometrie, Bedrijfskunde, Informatiekunde of een vergelijkbare richting; meerdere jaren relevante ervaring als data-analist, businessanalist of in een vergelijkbare rol; ervaring met het vertalen van businessvragen naar analyses, informatieproducten of datatoepassingen; goede kennis van data-analyse en ervaring met SQL en Snowflake; het vermogen om analyses te vertalen naar duidelijke adviezen en concrete verbeteracties; affiniteit met artificial intelligence en de nieuwsgierigheid om nieuwe toepassingen snel eigen te maken; ervaring met het begeleiden van stakeholders en stimuleren van adoptie; oog voor datakwaliteit, privacy en verantwoord gebruik van data en AI; sterke communicatieve en samenwerkingsvaardigheden; uitstekende beheersing van de Nederlandse taal, zowel mondeling als schriftelijk. Wat ga je doen Je werkt vanuit het Data & AI Office binnen één of meerdere waardestromen van Univé. Je kent de doelstellingen, processen en uitdagingen van de waardestroom en onderzoekt samen met collega's waar data en AI kunnen bijdragen aan betere dienstverlening, efficiëntere processen en onderbouwde besluitvorming. Je helpt de business om de juiste vragen te stellen. Je brengt informatiebehoeften in kaart, analyseert beschikbare data en vertaalt uitkomsten naar heldere inzichten en concrete aanbevelingen. Je onderzoekt ook waar voorspellende modellen, generatieve AI of andere slimme toepassingen medewerkers kunnen ondersteunen in hun dagelijkse werk. Je werkt intensief samen met collega's uit de business, Business Informatie Analisten, data scientists, data engineers en andere specialisten binnen het Data & AI Office. Je verbindt de inhoudelijke kennis van de waardestroom met de mogelijkheden van data en AI. Tijdens de ontwikkeling bewaak je het doel en de toegevoegde waarde. Na oplevering help je de business om de oplossing te begrijpen, te gebruiken en verder te verbeteren. Concreet houd je je bezig met: ophalen en doorgronden van businessvragen binnen de waardestroom; herkennen en concretiseren van kansen voor data, analytics en AI; analyseren van data met SQL in Snowflake en Python en vertalen van de uitkomsten naar begrijpelijke inzichten en adviezen; ontwikkelen en verbeteren van rapportages, dashboards en andere informatieproducten; samen met data scientists en data engineers werken aan dataproducten en AI-toepassingen; formuleren van heldere requirements, use cases en acceptatiecriteria; ondersteunen van medewerkers en leidinggevenden bij het begrijpen en toepassen van data en AI; stimuleren van adoptie en datagedreven werken binnen de waardestroom; bewaken of een oplossing daadwerkelijk bijdraagt aan het oorspronkelijke businessdoel; signaleren van problemen rondom datakwaliteit, definities en beschikbaarheid; verantwoord omgaan met data en AI, met aandacht voor privacy, uitlegbaarheid en menselijke controle; delen van kennis, voorbeelden en succesvolle toepassingen binnen Univé. Je standplaats is Zwolle, maar we werken ook een dag in Assen. We werken hybride, waarbij je gemiddeld de helft van de tijd op kantoor werkt. Wat bieden wij Binnen het Data & AI Office krijg je een veelzijdige functie waarin je direct samenwerkt met de business en zichtbaar bijdraagt aan de ontwikkeling van Univé. Je krijgt de ruimte om kansen te signaleren, collega's mee te nemen en ideeën om te zetten in toepassingen die in de praktijk waarde opleveren. Salaris en arbeidsvoorwaarden: deze functie is ingedeeld in schaal 9. Het jaarsalaris ligt tussen € 58.352 tot € 82.378 op basis van een 38-urige werkweek, inclusief vakantiegeld en dertiende maand en exclusief variabele beloning; Uitdagende projecten: je werkt aan organisatiebrede afwisselende vraagstukken op het snijvlak van data, AI, technologie en business; Ontwikkeling: we investeren in jouw persoonlijke en professionele groei met opleidingen, kennisdeling en ruimte om je verder te specialiseren; Ruimte voor initiatief: je krijgt de vrijheid om kansen te onderzoeken, voorstellen te doen en verbeteringen in gang te zetten; Moderne werkomgeving: je werkt met SQL in Snowflake. Voor complexere analyses gebruik je Python. Daarnaast maak je gebruik van ChatGPT en andere moderne data- en AI-toepassingen; Innovatie en autonomie: je krijgt ruimte om nieuwe technieken te onderzoeken en eigen ideeën te ontwikkelen, testen en verbeteren; Hybride werken: je werkt gemiddeld 50% op kantoor en 50% vanuit huis, inclusief ondersteuning voor je thuiswerkplek; Extra voordelen: korting op je schade- en zorgverzekeringen bij Univé. Wie wij zijn Binnen het Data & AI Office werken we aan de data- en AI-ambitie van heel Univé. We ontwikkelen het centrale datafundament, bouwen betrouwbare dataproducten en zetten data en AI in om besluitvorming, processen en klantbediening te verbeteren. Je komt terecht in een omgeving met data scientists, data engineers, data-analisten, business informatie analisten en andere dataspecialisten. Samen met collega's uit de waardestromen en bedrijfsonderdelen brengen we kennis van data, technologie en de business bij elkaar. We geloven in eigenaarschap, vakmanschap en samenwerking. We experimenteren graag, maar zorgen er ook voor dat succesvolle oplossingen veilig, betrouwbaar en beheersbaar in productie worden genomen. Zo maken we data en AI praktisch toepasbaar voor onze medewerkers en betekenisvol voor onze leden. Overige informatie Enthousiast? Solliciteer dan via de sollicitatiebutton. Wil je eerst meer weten over de functie of de sollicitatieprocedure? Neem dan contact op met recruitment via Een screening maakt onderdeel uit van de sollicitatieprocedure. Een assessment kan onderdeel zijn van de procedure. Omdat we graag rechtstreeks in contact komen met onze toekomstige collega's, houden we de werving en selectie in eigen hand. Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. Find more English Speaking Jobs in Netherlands on Arbeitnow

(FEQ128R42) The Role You will be the technical leader and lead architect for one of Databricks' most strategic global customers: a health technology company whose diagnostic, therapy, connected-care and consumer health products reach hundreds of millions of people every year. You will own the technical relationship and the Data + AI vision for a single complex enterprise that spans multiple business units, regions and regulatory regimes. The account is a large, Azure-first Data Intelligence Platform customer. It runs a portfolio of well over a hundred use cases across business units and global functions, delivered as a multi-year program in quarterly releases. You will set the technical direction for that program and turn it into an executable roadmap. You will work as one team with the Account Executive and a dedicated pod of Solutions Architects, specialists, Professional Services and partners. We are looking for a visionary who can see where Data + AI will take health technology, explain that clearly to executives and engineers alike, and bring a large, distributed group of people with them! The Impact You Will Have Own and drive the technical vision Define the customer's enterprise Data + AI vision with CxO and VP stakeholders, tied directly to business priorities. Be the executive suite's trusted advisor on platform strategy, build-vs-buy, responsible AI and regulated-industry governance. Show, don't tell: inspire CTOs, chief architects and engineering leaders with working examples, and build prototypes yourself when it matters. Lead the account pod technically: set direction for Solutions Architects, Specialist and Delivery SAs, Professional Services and partners, and coach them to raise the bar. Partner with the Account Executive on account strategy and consumption planning, owning technical strategy and path to value for every major initiative. Align pre-sales, delivery and partners so the customer sees one Databricks team, one plan and one escalation path, local to global. Lead discovery and solution design for strategic, high-risk deployments, driving each to production and measurable outcomes. Build lasting C-level, VP and Director relationships across IT, data & AI, R&D, Quality & Regulatory, Service, Operations and the business units. Be the customer's voice internally, shaping Databricks product and go-to-market strategy with field insight while leading the account's largest modernisation programs Scale GenAI and agentic AI from pilot to production across business units. Build partner ecosystem relationships (GSIs, ISVs, hyperscalers) to scale delivery. Create reusable IP (reference designs, accelerators, talks, blogs) for the wider Databricks health and life sciences community. What We Look For (Note: it is not expected that you "tick every box" below and encourage you to apply if you are meeting several of the key criteria and can demonstrate a strong ability to transfer skills and develop quickly in the role!) Proven record as lead technical figure on a large global enterprise account, or as enterprise/chief architect at a similar organisation, owning the vision over multiple years. Experience leading virtual teams without direct authority: setting direction, coaching senior architects and aligning specialists, delivery and partners on one plan. Thrives with high autonomy in ambiguous, high-stakes, multi-region, multi-business-unit environments. Excellent communicator, from boardroom to engineering floor, with clear written thinking. Technical depth 10+ years in data engineering, analytics, ML or AI architecture, with significant customer-facing technical leadership (pre-sales, consulting or enterprise architecture). Deep, hands-on expertise in modern data and AI platforms; Apache Spark, Delta Lake and Databricks experience is a strong plus. Experience designing: Large-scale data platforms and migrations from legacy warehouses, Hadoop or other clouds Enterprise governance and security models Production ML, MLOps, GenAI and agent systems Proven ability to win platform decisions against hyperscaler-native and competing platforms on architecture, cost and governance. Proficient in Python and SQL; able to prototype quickly, including with AI-assisted development. Domain knowledge Experience in health technology, medical devices, life sciences or another regulated industry, and a passion for improving patient outcomes with Data + AI. Working knowledge of MedTech and medical AI regulation: EU MDR/IVDR FDA SaMD and Predetermined Change Control Plans ISO 13485, IEC 62304 and ISO 14971 EU AI Act requirements for high-risk medical AI Understanding of privacy and data-sharing regimes (GDPR, HIPAA, European Health Data Space). Familiarity with healthcare data standards (DICOM, HL7, FHIR, OMOP). Nice to Have Experience with or at a global MedTech, health technology or diagnostics company. Experience designing validated, audit-ready (GxP / 21 CFR Part 11) data and AI environments. Enterprise-scale SAP data integration (BW, S/4HANA) and semantic harmonisation. Public thought leadership: conference talks, publications or open source. Dutch is a plus; professional English required. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in Netherlands on Arbeitnow

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