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Description Hi there, we?re Article. ? Since 2013, we have been redefining the furniture industry one sofa at a time, it?s not easy ? it requires solving challenging, meaningful problems. This is where you come in, as an Inventory Allocation Planner , you'll execute inventory allocation strategies to ensure regional On-Site Availability (OSA) and stock optimization. This role focuses on monitoring stock levels, making allocation adjustments, and supporting day-to-day inventory distribution across fulfillment centers and regions. This position is critical in maintaining regional inventory availability and supporting the Manager, Inventory Allocation in execution and reporting. We are looking for someone who has proven experience as a partner to the business. You will need to be an advisor and influence/guide major stakeholders on decisions that are backed by data and your subject matter expertise. What You?ll Do Execute inventory allocation plans to maintain regional OSA. Monitor inventory levels, perform inventory allocation to warehouses, and recommend stock transfers to prevent stockouts or overstock situations. Analyze stock movement trends and provide insights to improve inventory placement. Ensure real-time updates on stock availability and recommend adjustments based on demand fluctuations. Track and report key inventory allocation metrics, ensuring alignment with business goals. Work closely with Sourcing, Inbound Logistics and warehouse teams to resolve inventory-related execution challenges. Identify and escalate potential risks affecting inventory flow and availability. Collaborate with Merchandise Planning teams to align allocation strategies with business needs. Communicate inventory status and concerns with internal stakeholders to facilitate resolution. Support continuous improvement efforts in allocation processes and inventory management systems. Use AI tools, with training and support as needed, to improve inventory analysis, identify trends and potential risks, and support allocation decisions. Review AI-generated insights and recommendations using inventory, demand, supply, and business knowledge. Identify opportunities to use AI to simplify and automate repetitive analysis, reporting, and allocation processes. Who You Are 3+ years of experience in Inventory Allocation, Supply Chain Planning, or Logistics. Strong attention to detail and ability to work with large datasets for inventory analysis. Strong analytical skills with the ability to translate complex data into actionable strategies. Proficiency in inventory management systems (IMS, WMS) and reporting tools (Tableau, Excel). Willingness to learn and use AI tools to improve efficiency, accuracy, and problem-solving in daily work. Ability to work cross-functionally and adapt to dynamic business needs. Ability to influence others to get the results needed to move a project forward. Perks & Benefits Wealth: The salary range is $78,000 to $88,000 Starting salary is determined by your transferable skills, knowledge, work experience, and the hiring team?s budget, which is based on business needs, market compensation data, and internal equity We believe in Winning Together. When Article hits its annual financial goals, eligible employees will receive a cash bonus 4% RRSP matched contributions through Wealthsimple Life: 15 days of vacation* 1 extra day off (Inclusion and Diversity Day) 6 well-being (sick) days Hybrid work: 3 days a week in the office Work remotely (anywhere in the world) for up to 3 weeks Total Health:<

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working closely with technologists to translate research ideas into efficient, production-ready systems Exploring new techniques in machine learning, statistics and quantitative finance to uncover new sources of edge No two research problems are the same. Good research finds patterns. Great research understands why they exist. What Success Looks Like Successful researchers at Graviton discover new sources of alpha and turn them into robust trading strategies, build models that hold up under real market conditions and not only in backtests, develop a deep understanding of market behaviour, create research frameworks and tools that make the broader team more effective, work with technologists to take ideas from research into production, and communicate complex quantitative ideas clearly and rigorously. Your impact isn't measured by how many models you build. It's measured by the quality of the ideas you discover and what those ideas enable. Who We're Looking For We're looking for exceptional problem solvers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious. Degree in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research or machine learning No active backlogs Strong programming skills in Python and/or C++ Solid grounding in probability, statistics, linear algebra and optimization, with experience in machine learning, statistical modelling or data analysis, whether through coursework, research or personal projects Comfort working with large, complex datasets, and strong analytical thinking A passion for applying quantitative thinking and rigorous research to solve open-ended problems in markets Excellent communication skills, with the ability to explain complex ideas clearly Prior exposure to quantitative research, algorithmic trading, market microstructure, competitive mathematics or machine learning is valuable, but we care more about how you think than whether you've worked in finance before. Our Culture More than specific tools or techniques, we care how you think. We look for people who are curious enough to keep asking why, analytical enough to separate signal from noise, persistent enough to pursue difficult problems, intellectually honest enough to abandon an idea when the evidence says so, and humble enough to keep learning. At Graviton, researchers sit alongside technologists on specialized trading teams that operate with significant autonomy. You'll have meaningful ownership of research problems from day one: forming your own hypotheses, challenging existing approaches and following the evidence wherever it leads, with the infrastructure and datasets to test ideas at scale, competitive compensation, and a culture where the best idea wins regardless of who proposed it. Markets are among the most complex systems humans have ever created, and they never stop changing. Neither should our thinking. Every day, someone asks a better question and finds an answer nobody had. That someone could be you. 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At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working closely with technologists to translate research ideas into efficient, production-ready systems Exploring new techniques in machine learning, statistics and quantitative finance to uncover new sources of edge No two research problems are the same. Good research finds patterns. Great research understands why they exist. What Success Looks Like Successful researchers at Graviton discover new sources of alpha and turn them into robust trading strategies, build models that hold up under real market conditions and not only in backtests, develop a deep understanding of market behaviour, create research frameworks and tools that make the broader team more effective, work with technologists to take ideas from research into production, and communicate complex quantitative ideas clearly and rigorously. Your impact isn't measured by how many models you build. It's measured by the quality of the ideas you discover and what those ideas enable. Who We're Looking For We're looking for exceptional problem solvers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious. Degree in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research or machine learning No active backlogs Strong programming skills in Python and/or C++ Solid grounding in probability, statistics, linear algebra and optimization, with experience in machine learning, statistical modelling or data analysis, whether through coursework, research or personal projects Comfort working with large, complex datasets, and strong analytical thinking A passion for applying quantitative thinking and rigorous research to solve open-ended problems in markets Excellent communication skills, with the ability to explain complex ideas clearly Prior exposure to quantitative research, algorithmic trading, market microstructure, competitive mathematics or machine learning is valuable, but we care more about how you think than whether you've worked in finance before. Our Culture More than specific tools or techniques, we care how you think. We look for people who are curious enough to keep asking why, analytical enough to separate signal from noise, persistent enough to pursue difficult problems, intellectually honest enough to abandon an idea when the evidence says so, and humble enough to keep learning. At Graviton, researchers sit alongside technologists on specialized trading teams that operate with significant autonomy. You'll have meaningful ownership of research problems from day one: forming your own hypotheses, challenging existing approaches and following the evidence wherever it leads, with the infrastructure and datasets to test ideas at scale, competitive compensation, and a culture where the best idea wins regardless of who proposed it. Markets are among the most complex systems humans have ever created, and they never stop changing. Neither should our thinking. Every day, someone asks a better question and finds an answer nobody had. That someone could be you. 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If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, join The City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life. The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request. As a Senior Data Strategist, you will lead the translation of business strategies and requirements into specific data solutions, taking overall responsibility for all aspects of solution delivery, from inception through design, development, implementation, and evaluation. This position oversees and coordinates daily operations to support activities including troubleshooting, maintaining, enhancing, and monitoring analytics and business intelligence solutions to get a clear understanding of how The City performs using business and communication skills to influence how the organization tackles business challenges. Primary duties include:Lead the building of data pipelines to bring together information from different sources systems and transforming them into a format that can be easily analyzed.Determine how data is managed from collection through to transformation, distribution, and consumption.Work closely with other external Project Specialist, System Architects, Data Scientists, Visualization Data Strategist, and Data Analysts. Oversee architecting solutions that integrate, consolidate, cleanse and structure data for use in analytics and dashboard applications.Implement and improve solutions where the business and information technology work together to ensure the uniformity, accuracy, stewardship, consistency, and accountability of the enterprise's official shared master assets.Design, develop, document, and perform master data quality checks across the data assets under the advanced analytics domain and maintain data quality assurance throughout the data repositories to ensure the quality of data delivered to internal interested parties and the public from our various products.Define the respective data model and underlying data structures. Develop and manage a data model which provides the details of City information, how it is to be stored.Work with interested parties to develop a good understanding of the business context, provide expert judgement and analysis for the architecture design, development, and implementation of diverse types of data solutions including integration, migration, reporting, data warehousing and application data layer.Develop descriptive, prescriptive, and predictive models with state-of- the-art machine learning techniques.Use statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. Qualifications A degree in Business, Science, or related field plus at least 7 years of experience with major IT data solutions implementation, ideally in a large, complex, and highly regulated service organization.Experience in developing, implementing, and monitoring data architecture, data integration, data warehousing, data modeling, dimensional/star schema, master data management, data engineering, data analysis, and continuous improvement of data and data processes is required.Demonstrated experience with SQL, Python, ETL processes, and Power BI is required.Experience with SAP Business Obj

RQ11319 - Sr. Software Developer 6-month contract (125 business days) - possible extension ONSITE 5 days - 21 College Street, Toronto Security Level: CRJMC Must Have: At least 10 years of experience designing, architecting and developing complex, enterprise applications using: ASP.NET Programming including ASP.NET Web API/Rest API ? all supported versions .NET Framework 4.8.1 C #.NET VB.NET SQL JavaScript Frameworks: Vue.js and Angular Nice to Have: As SCOPE / e-library are critical CLD application previous experience in the OPS and with Criminal Law and Justice-specific applications would be an asset Scope: Design, development and implement enhancements to the Criminal Law Division SCOPE and e-Library Work with the project team in completing all relevant and required documentation in alignment with OPS standards. Provide technical expertise in planning for integration with other Justice technologies Assignment Deliverables: The consultant will be responsible for translating business requirements and functional specifications into working, tested extensions to these applications. The consultant will also be providing support to help our team transition from Microsoft TMS to Microsoft Dev Ops including implementing agile SCRUM methodology. In this role the consultant will provide leadership and mentoring for this transition. Implemented RESTful API services based on the ASP.NET Web API/REST API framework to provide service endpoints for the new and modified web pages Experience and familiarity with the API design tools, as well as API documentation tools like Postman, similar to Swagger (OpenAPI) This includes developing detailed programming specifications, user interface designs, prototypes, writing and/or generating code compiling data driven programs conducting unit tests and debugging code to troubleshoot incidents and defects, Provide break fix and change management support to the systems Analysis, design, development, testing, implementation and documentation of solutions for relevant projects Assessment and development of enhancements and changes requested by business partners Provide application support for mission-critical enterprise applications Work with clients to design effective application changes to meet business needs. Working with any one or more of the technologies below, the consultant will: Participate in the coding and development of application components including user interface, data services, data synchronization, and deployment services. Participate in the application design, development, unit / system testing and deployment of the SCOPE/e-Library and associated application using Microsoft development platform and tools Participate in project design and application JAD sessions / walkthroughs; Development of required Software Architecture Documentation for the project; Produce Use Cases, Class diagrams, component diagrams, state diagram etc.; Create code modules, as well as other necessary system scripts and .NET modules Develop documentation for testing, implementation, defect tracking as per OPS standards; Participate in, document and configure output from application design sessions Participate in the Unit / System / Integration Testing Development of user authentication and access component according to predefined business rules Design and development of user and system interface(s) Preparation of install package and install books as required Provide input and c

Für ein etabliertes und wachsendes Unternehmen suchen wir zum nächstmöglichen Zeitpunkt einen Bilanzbuchhalter (m/w/d) in Vollzeit . Die Position bietet die Möglichkeit zum mobilen Arbeiten. Gleichzeitig ist eine regelmäßige Präsenz am Unternehmensstandort vorgesehen. Unser Auftraggeber ist ein erfolgreiches, nachhaltig ausgerichtetes Unternehmen mit mehreren Gesellschaften und einem vielseitigen Geschäftsumfeld. Zur Verstärkung des kaufmännischen Teams wird eine erfahrene Persönlichkeit gesucht, die Verantwortung übernimmt und die Weiterentwicklung der Finanzprozesse aktiv mitgestaltet. Aufgaben Verantwortung für die termingerechte Erstellung von Monats-, Quartals- und Jahresabschlüssen nach HGB für mehrere Gesellschaften Prüfung, Kontierung und Verbuchung sämtlicher laufender Geschäftsvorfälle in der Debitoren-, Kreditoren-, Anlagen- und Finanzbuchhaltung Abstimmung von Bilanz- und GuV-Konten sowie Klärung bilanzieller Sachverhalte Erstellung der monatlichen Umsatzsteuervoranmeldungen Zusammenarbeit mit internen Ansprechpartnern sowie Steuerberatern und Wirtschaftsprüfern Mitwirkung bei der Optimierung und Digitalisierung bestehender Finanz- und Buchhaltungsprozesse Qualifikation Erfolgreich abgeschlossene kaufmännische Ausbildung mit Weiterbildung zum Bilanzbuchhalter (IHK) oder eine vergleichbare Qualifikation Mehrjährige Berufserfahrung in der Bilanzbuchhaltung Sichere und fundierte Kenntnisse in der Rechnungslegung nach HGB Sicherer Umgang mit MS Office, insbesondere Excel Erfahrung mit einem ERP-System von Vorteil Strukturierte, eigenverantwortliche und sorgfältige Arbeitsweise Ausgeprägtes analytisches Denkvermögen und hohe Zahlenaffinität Freude an der Weiterentwicklung von Prozessen und an der Digitalisierung Sehr gute Deutschkenntnisse in Wort und Schrift Benefits Ein sicherer Arbeitsplatz in einem wachsenden und zukunftsorientierten Unternehmensumfeld Flache Hierarchien und kurze Entscheidungswege Eine strukturierte und umfassende Einarbeitung durch ein erfahrenes Team Eine verantwortungsvolle und abwechslungsreiche Tätigkeit mit Gestaltungsspielraum Individuelle Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung Leistungsgerechte Vergütung und attraktive Mitarbeitervorteile Ein kollegiales und wertschätzendes Arbeitsumfeld Möglichkeit zum mobilen Arbeiten Regelmäßige Präsenz am Unternehmensstandort, voraussichtlich bis zu zwei Tage pro Woche Interesse an der Position? Dann freuen wir uns auf deine Bewerbung! Du bist dir nicht sicher, ob die Position zu deinem Profil passt? Kein Problem – sprich uns gerne an. Gemeinsam schauen wir uns deine Möglichkeiten an und klären, ob die Stelle zu deinen Vorstellungen und Erfahrungen passt. Find Jobs in Germany on Arbeitnow

Join SE3 Labs as Communications & Social Media Associate Find the stories in SE3's technology and field work, and write them so well that people choose to read them. About SE3 SE3 Labs builds spatial intelligence and autonomy software for unmanned systems. We combine 3D computer vision, state estimation and AI to help autonomous platforms perceive their surroundings, know where they are and operate when GPS and other sensors become unreliable. Defence is a core application of our work today. We are growing to a team of 100+ people. Join at a stage where you can shape our Communications team , help build the team and grow your responsibilities as the company expands. About the Role As Communications & Social Media Associate , you'll turn conversations with our founders, engineers and customer-facing colleagues into essays, explanations and posts that help customers, partners and future colleagues understand what we build. You'll work directly with the founders, our technical team and our creative director, with the team in Munich. We would rather publish fewer excellent pieces than fill a calendar, so you'll have protected time to research, draft and revise. What You'll Work On Story Finding: Speak with engineers, founders and colleagues working with customers to find the result, observation or argument worth sharing, and understand the evidence behind it. Writing & Editing: Write and edit essays, product explanations, short technical papers, website copy and social posts. Founder Voice: Help the founders express their ideas in their own voices and build a consistent presence across founder and company channels. Publishing: Take pieces from first draft through feedback and publication, choose the audience, format, channel and timing with the founders, and learn from the response. Talks & Announcements: Prepare interviews, talks and announcements by researching the audience and finding useful examples and questions. Visual Material: Plan photographs and footage before important tests, visits and events with our creative director and specialist photographers or filmmakers. Accuracy & Approvals: Keep drafts and sources organised, check claims with the people who know, and obtain approvals before publishing. Your Profile You take responsibility for finishing what you start, raise a concern when a draft is wrong and use direct feedback to improve your work. You write excellent English, with samples that show independent thought and careful revision. Your best work might come from a student publication, an internship, a personal blog or a research project. You're a recent graduate or have up to three years of experience. Previous full-time communications experience is not required. You're curious about technology and can research, check facts and explain complex subjects without losing what matters. You have good editorial judgement and notice unsupported claims, empty phrases and details that change the meaning of a sentence. You're based in Munich or willing to relocate. Strong German is a plus, particularly for work with German customers and institutions. Given the nature of SE3's work in the defence sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security clearance. Especially Valued Bonus Skills Strong spoken & written German. Interest in technology, science, defence or public policy. Experience interviewing people and preparing questions in depth. A body of writing on technical or complex subjects. Perks & Benefits Real Ownership: Participate in SE3's growth through our employee participation programme Work Environment to Excel at: Find a high-quality and modern toolset, flat hierarchy and a skilled, driven team which will push the limits together with you AI-boosted workplace: We empower every employee with best-in-class AI tools and agents, giving you unlimited access to the latest advancements and a true productivity edge 31 Paid Days Off: 30 vacation days plus your birthday off Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass Team Offsites: We go on 2 company retreats per year, our last ones were in Italy and Greece Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth Our Process Intro Call (30 min): Let's get to know each other. Paid Writing Exercise: Turn a technical interview we supply into a short post and a longer explanation, then revise both after our feedback. Writing Interview (1 hr): We discuss your writing samples, how you researched them and what you contributed to each. Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides. Please include two or three pieces of writing with your application, explain what you personally contributed to each and tell us why this work interests you. If you have an early draft and a much improved version, we would be glad to see both. Equal Opportunity SE3 is an equal-opportunity employer committed to building a diverse and inclusive team. All qualified candidates will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected under applicable law. Find Jobs in Germany on Arbeitnow

Direction de Projets – Ingénierie, Construction & Infrastructures Critiques 1. Présentation du poste Intitulé : Directeur de Projet Data Center (Data Center Project Director) Rattachement hiérarchique : Directeur des Opérations / Directeur de Programme / Direction Générale Périmètre : France et International Secteur : Data Centers – Infrastructures critiques – Construction – Ingénierie 2. Mission principale Le Directeur de Projet Data Center assure le pilotage stratégique, technique, opérationnel et financier de projets complexes de conception, de construction, d'extension ou de transformation de Data Centers. Il garantit la bonne exécution des projets dans le respect des engagements contractuels, des budgets, des délais, des exigences de qualité, de sécurité, de performance énergétique et de disponibilité des infrastructures. Il intervient sur l'ensemble du cycle de vie des projets, depuis les études de faisabilité jusqu'à la réception des installations, leur mise en service et leur transfert aux équipes d'exploitation. Véritable chef d'orchestre, il coordonne les différentes parties prenantes et assure l'interface entre la maîtrise d'ouvrage, la maîtrise d'œuvre, les bureaux d'études, les entreprises de construction, les fournisseurs et les exploitants. 3. Responsabilités principales A. Direction et pilotage stratégique des projets Définir la stratégie globale d'exécution et les objectifs du projet. Piloter des projets de Data Centers neufs (Greenfield), d'extension ou de rénovation (Brownfield). Superviser toutes les phases du projet, de la faisabilité à la livraison. Définir les jalons, les livrables et les indicateurs de performance. Mettre en place la gouvernance et les instances de décision. Arbitrer les choix techniques, économiques et organisationnels. Anticiper les risques et définir les plans d'atténuation. Assurer le reporting auprès de la Direction Générale, des investisseurs et des clients. B. Management technique et coordination des études Superviser et coordonner l'ensemble des disciplines techniques : Électricité – Courants forts et faibles Réseaux HTB/HTA/BT et postes de transformation. Tableaux électriques, TGBT et distribution électrique. Groupes électrogènes et systèmes d'alimentation secourue. Onduleurs (UPS), batteries et systèmes de distribution. Architectures de redondance N+1, 2N et autres configurations adaptées aux exigences de disponibilité. Coordination des protections électriques, sélectivité et continuité de service. CVC – Refroidissement et traitement d'air Production et distribution frigorifique. Groupes froids, free cooling et refroidissement adiabatique. CRAH, CRAC et Fan Walls. Systèmes de refroidissement liquide (Liquid Cooling). CDU et solutions de Direct-to-Chip Cooling. Optimisation des performances thermiques et énergétiques. Bâtiment et infrastructures Génie civil, structure et architecture. VRD et raccordements aux réseaux. Sécurité incendie et systèmes de détection/extinction. Contrôle d'accès, vidéosurveillance et sûreté physique. BMS, DCIM, GTB et supervision technique. Intégration des infrastructures IT et télécoms. Assurer la cohérence technique des études, la gestion des interfaces et la conformité aux exigences contractuelles et réglementaires. C. Pilotage des études et de la conception Superviser les études de faisabilité et les avant-projets. Piloter les phases de conception selon les référentiels contractuels applicables, notamment RIBA 0 à 4 pour les projets concernés. Valider les choix architecturaux et techniques. Organiser les revues de conception et les analyses de risques. Superviser la coordination BIM et les études de synthèse. Garantir la constructibilité, la maintenabilité et l'exploitabilité des installations. Piloter les démarches de Value Engineering. Optimiser le CAPEX sans compromettre les exigences de performance et de résilience. D. Direction de la construction et de l'exécution Définir la stratégie de réalisation et le phasage des travaux. Superviser les entreprises générales, les lots techniques et les sous-traitants. Coordonner les équipes de maîtrise d'œuvre et de construction. Garantir le respect des plannings et des jalons contractuels. Piloter les interfaces entre génie civil, électricité, CVC et infrastructures IT. Superviser les procédures de contrôle qualité. Veiller au respect des exigences HSE. Gérer les modifications, non-conformités et situations critiques. Organiser les opérations préalables à la réception. E. Gestion financière et contractuelle Construire et piloter le budget global du projet. Superviser les engagements financiers et le suivi des dépenses. Piloter les CAPEX et les prévisions à terminaison (Estimate at Completion). Identifier les dérives budgétaires et mettre en œuvre les actions correctives. Superviser les consultations, appels d'offres et négociations. Piloter les contrats de maîtrise d'œuvre, d'ingénierie, de construction et de fourniture. Gérer les avenants, réclamations contractuelles et risques financiers. Optimiser les coûts et préserver les marges du projet. Assurer un reporting financier fiable et régulier. F. Commissioning et mise en service Définir et superviser la stratégie de commissioning. Coordonner les essais des équipements et systèmes techniques. Superviser les essais fonctionnels et les essais intégrés (Integrated Systems Testing). Vérifier les scénarios de fonctionnement normal, dégradé et secouru. Piloter la levée des réserves et la clôture des non-conformités. Garantir la remise des DOE, procédures et documentations techniques. Organiser la formation des équipes d'exploitation. Superviser le transfert opérationnel vers les équipes Facilities Management et Data Center Operations. G. Management des équipes et des parties prenantes Encadrer les chefs de projet, Design Managers, Construction Managers et responsables techniques. Coordonner les bureaux d'études, consultants et partenaires. Définir les responsabilités et les objectifs des équipes. Animer les réunions de pilotage et les comités de direction. Développer une culture de performance, de sécurité et de collaboration. Gérer les situations conflictuelles et les arbitrages complexes. Assurer une communication structurée avec les clients et investisseurs. 4. Compétences techniques requises Ingénierie Data Center Excellente compréhension des architectures électriques et mécaniques des Data Centers. Maîtrise des enjeux de disponibilité, de résilience et de redondance. Connaissance des référentiels EN 50600, ISO/IEC 22237, des exigences Uptime Institute et des recommandations ASHRAE applicables. Compréhension des contraintes liées aux infrastructures IT à haute densité. Connaissance des enjeux de performance énergétique, notamment PUE et WUE. Gestion de projets complexes Maîtrise des méthodes de planification et de gestion des risques. Pilotage de projets multidisciplinaires à forts enjeux financiers. Gestion contractuelle et financière. Maîtrise des processus de conception, construction et commissioning. Expérience des environnements EPC, EPCM, Design & Build ou maîtrise d'ouvrage. Outils Microsoft Project / Primavera P6. AutoCAD / Revit / Navisworks. Environnements BIM. Power BI et outils de reporting. Outils de suivi budgétaire et de gestion documentaire. 5. Profil recherché Formation Diplôme d'ingénieur ou formation supérieure Bac+5 en génie électrique, énergétique, mécanique, bâtiment ou construction. Une spécialisation en infrastructures critiques ou Data Centers constitue un atout. Expérience Expérience professionnelle significative, idéalement 12 à 15 ans minimum, en gestion de projets techniques complexes. Expérience confirmée en direction de projets de construction ou d'ingénierie de Data Centers. Expérience dans la gestion de projets à budgets importants et équipes multidisciplinaires. Bonne connaissance des processus de conception, construction et mise en service. Expérience internationale appréciée. Langues Français courant. Anglais professionnel indispensable, à l'écrit comme à l'oral. 6. Compétences managériales et comportementales Leadership et capacité à fédérer des équipes pluridisciplinaires. Vision stratégique et forte orientation résultats. Excellentes capacités d'analyse et de décision. Maîtrise des enjeux financiers et contractuels. Capacité à anticiper et à gérer les situations critiques. Rigueur, organisation et sens des responsabilités. Excellentes aptitudes relationnelles et de négociation. Capacité à communiquer avec des interlocuteurs techniques et exécutifs. Orientation client et culture de l'engagement. 7. Rémunération La rémunération proposée pour ce poste s'établit entre EUR 12,000 et 20,000 par mois. Find more English Speaking Jobs in France on Arbeitnow

The future you want is within reach. Let?s build it together. At PCL Constructors Inc., part of the PCL Family of Companies (PCL), we don?t just build projects ? we build opportunities, careers and communities. We invest in our people and projects, and that shared commitment drives how we work, grow and lead in the construction industry.We?re a team of builders who care deeply about what we create and who we build with. That includes you. We are not only shaping the future of construction; we are also committed to shaping the future of your career. As a Learning and Development Analyst for PCL Constructors Inc. in Edmonton, Alberta (Corporate), you will support PCL?s learning infrastructure with a strong focus on our Learning Management System (LMS). This role is well suited to an analytical, detail?oriented professional who enjoys working with systems, data, and stakeholders to enable effective, scalable learning experiences.Why Choose PCL? Build skills. Earn rewards. Grow your career. PCL?s total rewards are designed to support your development, wellbeing and future success because your contributions matter. Our offerings give you the opportunity to:Earn competitive wages for your contributionsAccess a comprehensive benefits program, including mental health and wellness support through Employee Assistance ProgramsJoin an award-winning employer focused on people, development and well-beingAccess world-class training through PCL?s College of Construction Advance your career through clear growth pathwaysExplore opportunities across roles, sectors and regions Here's how a Learning and Development Analyst for PCL Constructors Inc. within Edmonton NAHQ contributes to our team:This role is being offered as a 6 month contract, with potential for extension. ResponsibilitiesConfigure, manage, and optimize the LMS, including automated (dynamic) learning assignments.Provide technical support and troubleshooting for LMS administrators and learners.Partner with stakeholders to ensure LMS solutions meet business and learner needs.Work closely with the LMS vendor (Cornerstone) on system configuration, enhancements, upgrades, and issue resolution.Develop and deliver LMS training for administrators, managers, and learners.Design and maintain Power BI dashboards and reports, using data storytelling to communicate trends, KPIs, and insights.Use advanced Excel skills to analyze, validate, and prepare learning data for reporting and decision?making.Audit learning data to ensure accuracy, consistency, and reliability.Document standards, processes, and system practices to support data integrity, consistent reporting, and sustainable system operations.Support learning system reporting, metrics, and continuous improvement initiatives.Assist with system-related change management and process improvements.QualificationsRelevant post-secondary education or equivalent experience.3 - 5 years of experience in learning systems, HR systems, or a related analytical role.Strong understanding of learning management systems and records management.Strong Excel skills and experience (e.g., data analysis, validation, formulas, reporting).Experience with reporting, metrics, and dashboards. (Power BI preferred).Strong analytical, problem-solving, and troubleshooting skills.Ability to work independently while collaborating effectively with the Learning Infrastructure team and diverse stakeholders.Clear, professional written and verbal communication skills.A learner-focused mindset with a passion for improving system adoption and user experience.Your Work Has Purpose Here PCL projects are where life happens, where communities connect, careers begin, and progress is made. Regardless of the type of project, we are building something bigger: a future that?s inclusive, resilient and full of opportunity. At PCL Constructors Inc., we are committed to creating a workplace where everyone belongs. We value the diverse experiences, identities and perspectives our employees bring.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role: Nebius is looking for a Technical Program Manager to join our Capacity team and drive capacity expansion across our data centers. In this role, you will work at the inersection of data analysis, infrastructure engineering, procurement, data center operations, and product teams. You will analyze how cloud resources are consumed, forecast future demand, identify capacity risks, and coordinate infrastructure expansions — from identifying the need for additional capacity to making that capacity available to customers. The role covers several key cloud resources, including compute and storage capacity, ultimately translating demand forecasts into requirements for additional servers across our data centers. This is a hands-on, analytical role. We are looking for someone who is comfortable working with metrics and forecasts and can use data to make decisions, while also being able to coordinate complex cross-functional projects involving multiple engineering and business teams. Your responsibilities will include Analyze historical and current consumption of cloud resources and identify trends, anomalies, and potential capacity constraints. Build and maintain capacity forecasts for infrastructure resources and translate them into concrete capacity requirements across multiple data centers. Initiate capacity requests and work with Supply Chain teams throughout the purchasing and delivery process. Maintain a clear end-to-end view of capacity expansions, from forecast and capacity requirements through procurement, delivery, installation, deployment, and availability for customers. Coordinate expansion plans with data center teams, including installation schedules and infrastructure readiness. Coordinate with engineering teams to plan deployment of new capacity. Provide engineering, product, and business stakeholders with clear and reliable information about capacity plans, delivery timelines, current status, dependencies, and risks. We expect you to have: Have experience in technical project/program management, data analytics, capacity planning, infrastructure planning, or a similar role. Have a strong analytical background and be comfortable making decisions based on quantitative data. Understand basic statistical concepts and forecasting methods and know their practical limitations. Be comfortable communicating with infrastructure engineers and understanding technical constraints and dependencies. Be able to coordinate work across multiple independent teams without relying on direct authority. Have strong written and verbal communication skills and be able to translate technical and analytical information into clear plans, decisions, risks, and status updates for different audiences. Take ownership of outcomes: proactively identify upcoming problems, drive decisions, follow up on commitments, and ensure that issues do not disappear between teams. It would be a strong advantage if you have: Have worked as a data or product analyst before moving into project or program management. Can independently query data using SQL. Have hands-on experience with monitoring and BI tools such as Grafana, DataLens, or similar platforms. Have experience with capacity planning, demand forecasting, or infrastructure resource management. Understand the basic architecture of cloud or data center infrastructure, including servers, racks, compute, storage, networking, and their operational dependencies. Have experience working with procurement, hardware supply chains, or physical infrastructure deployments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're hiring Technical Program Managers in London to run Encord's highest-stakes human data projects end to end — the work for frontier AI labs and physical AI companies, in specialist domains such as medical imaging and robotics, and the data types we are running for the first time. These are the projects where the technical complexity is highest and where a mistake is expensive. You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute at volume, then holding the result to a measurable standard. This is the load-bearing role in the business, and it is a hands-on one. You will know your projects' annotation standards better than anyone at the company, teach them to the annotators producing the work, decide who works on what, judge who is performing and who should come off, resolve the edge cases nobody anticipated, and answer for the delivery timeline. You will run several projects at once, and you will own how they are run. What you'll do Own delivery of your projects end to end — throughput, quality and timeline Translate complex machine learning requirements into clear annotation workflows, and design the process that produces the data the model actually needs Become the deepest expert at Encord on your project's annotation standards, and the person who resolves ambiguity and edge cases as they surface Maintain quality through process refinement, auditing and structured feedback loops, rather than through inspection at the end Train annotators onto the project and keep them improving — building the material yourself until our Learning & Development Specialist is in place Coach your annotation teams: give them the context behind the task, not only the rules, and develop their skills as the work gets harder Measure annotator performance and make the calls it implies: who continues, who needs retraining, who comes off the project Allocate tasks and manage the queue so that throughput and quality targets are met together rather than traded against each other Instrument the project at launch with the Quality Systems Lead — acceptance criteria, sampling plan, reviewer ratio — so it is measurable before the first batch ships Produce the delivery reporting for customers, and surface risk early enough that something can still be done about it Partner with Product and Engineering on process and tooling improvements, and feed recurring problems back into the playbooks, into training and into the platform Who we're looking for You go deep on the detail. Your instinct is to read the whole specification and annotate fifty items yourself before you assign anyone else Execution-oriented: you are measured by what shipped, not by what was planned, and you would rather fix a workflow than document one Analytically rigorous. You work in numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it You make people calls on evidence rather than on impression, and you can have the difficult version of that conversation Organised under real load: several projects, several time zones, and requirements that move A clear writer and a strong cross-functional communicator. Most of the workforce delivering your project you will never meet in person Entrepreneurial: when a date is at risk your first move is to re-plan, not to escalate, and you invent the process where none exists Genuinely interested in AI and in what the data you are producing is actually for Experience requirements 3–7 years of professional experience, ideally combining operational delivery with analytical work — AI data or annotation operations, strategy consulting, or data and operations roles at leading technology companies Demonstrated end-to-end ownership of complex, multi-stakeholder workflows, with responsibility for the outcome rather than the coordination Working proficiency in Python or SQL Direct experience managing, coaching or performance-managing a distributed workforce Track record of holding quality and throughput at the same time, with the numbers to show it Experience translating a detailed technical specification into instructions other people can follow Bonus: direct experience of annotation, evaluation or model-training workflows Why Encord Competitive salary, commission, and equity in a high-growth startup Strong in-person culture — most of the team works from our London office 4+ days/week 25 days annual leave + UK public holidays Annual learning & development budget Daily lunches and dinners Travel for customer visits, events, and conferences across the UK and Europe Company lunches twice a week Monthly socials & bi-annual team offsites Find more English Speaking Jobs in United Kingdom on Arbeitnow

Was Dich bei uns erwartet Beratung Als Project Manager übernimmst Du die Leitung von Projekten oder komplexen Teilprojekten. Deine fachliche und methodische Expertise nutzt Du zur Bearbeitung komplexer Fragestellungen und agierst als "Thought-Leader". Neben Projekten wirkst Du an der Entwicklung unserer Services und Kompetenzen mit. Projektmanagement Als Experte überblickst und managst Du Projekte ganzheitlich. Zu Deinen Aufgaben zählen die Planung sowie die Durchführung und Steuerung. Du übernimmst zudem die Kommunikation und Vertretung des Projektes auf Leitungsebene und nach außen. Führungsverantwortung Intern und auf Projekten führst Du Kollegen und Mitarbeiter. Deine Erfahrung gibst Du in Form von Coachings und Workshops weiter. Zudem teilst Du Deine Expertise in Form von Veröffentlichungen, die in Fachmedien veröffentlicht werden. Abwechslung Du hast Spaß daran, komplexe Problemstellungen zu strukturieren, nachhaltige Lösungen zu entwickeln und zu deren zielgerichteter Umsetzung beizutragen. Du steuerst dabei Projektvorhaben von der Initiierung bis zur erfolgreichen Verankerung in der Organisation. Was wir uns vor Du wünschen: Abgeschlossenes Studium im Bereich Wirtschaftswissenschaften mit Schwerpunkt Finance/Recht oder eine Ausbildung im Finanzbereich Mehrere Jahre Berufserfahrung in der Finanzdienstleistungsbranche und im Management von Projekten Erfahrung in der Steuerung von (Teil-)Projekten und Projektteams Qualifikation/Zertifizierung im Projektmanagement (z. B. Scrum, IPMA, PMI) Nachgewiesene Expertise in mindestens einem Schwerpunktbereich (Regulatorik, Risikomanagement, Wertpapiergeschäft, IT-Management) Hohe Problemlösungskompetenz und Begeisterungsfähigkeit Motivation sich ständig weiterzuentwickeln und Verantwortung zu übernehmen Versierter Umgang mit MS Office (Word, Excel, PowerPoint) Teamplayer-Mentalität Sehr gute Deutsch- und Englischkenntnisse (mindestens C1) Reisebereitschaft Deine Benefits Flexibilität: Montags und dienstags kannst Du bequem von zu Hause arbeiten, wobei Dir unser Büro dennoch jederzeit offensteht. In dringenden Fällen ist Home-Office auch an anderen Tagen möglich. Wir legen großen Wert auf persönliche Interaktionen und passen uns flexibel den Bedürfnissen unserer Kunden an. Weiterbildung: Du hast die Freiheit, passende Trainings, Seminare und Weiterbildungen nach Deinen Präferenzen auszuwählen. Zusätzlich bieten wir interne, mitarbeitergeführte Fortbildungen und Workshops an. Onboarding: Ab Tag 1 statten wir Dich mit einem Laptop, einem modernem Smartphone, das Du auch privat nutzen kannst, und einer Kreditkarte für Deine beruflichen Nebenkosten aus. Coaching: Für Deine Weiterentwicklung steht Dir ein Counsellor zur Seite, mit dem Du deine persönlichen Ziele formulierst und der Dich bei der eigenen Karriereentwicklung mit seinen Erfahrungen bestmöglich unterstützt. Gesundheit: Deine Gesundheit liegt uns am Herzen. Deshalb heißt es bei uns jeden Donnerstag: Massagetag! Ein geschulter Masseur und Osteopath kommt einmal in der Woche zu uns ins Büro. Darüber hinaus sind unsere Büros mit höhenverstellbaren Schreibtischen ausgestattet. Firmenevents: Freue Dich auf aufregende Teamevents und regelmäßige Get-Togethers. Von gemeinsamen Kochabenden über Formeltrainings bis hin zu Jubiläumsreisen nach London oder Malta. Diese Erlebnisse fördern den Teamgeist, schaffen gemeinsame Erfahrungen und bieten großartige Gelegenheiten, sich besser kennenzulernen. Vergütung: Bei uns erwartet Dich ein attraktives Gehaltspaket aus festem Grundgehalt und jährlicher Bonuszahlung. Ab 5 Jahren Betriebszugehörigkeit gibt's sogar noch einen extra Bonus obendrauf! Urlaub: 30 Tage Urlaub pro Jahr, um sich zu erholen und neue Energie zu tanken. Social Responsibility: Soziales Engagement gehört für uns untrennbar zur unternehmerischen Verantwortung. Dabei stellen wir jedem Mitarbeiter ein Spendenbudget von 200€ pro Jahr zur Verfügung. Besonders am Herzen liegen uns regionale Initiativen. Corporate Benefits: Du erhältst vergünstigte Mitarbeiterangebote auf z.B. Reisen, Mode, Technik und Veranstaltungen. Spaß und Nervennahrung: Bei uns werden herausfordernde Arbeitstage durch packende Tischkicker-Turniere, Gespräche in der Küche und eine gesunde Dosis Vitamine aufgepeppt. Kontakt Du hast Fragen zu dieser Position oder Deiner Bewerbung? oder melde Dich bei unserer Personalmanagerin Stephanie unter +49 69 / 950900-17 Find more English Speaking Jobs in Germany on Arbeitnow