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Ort: Zürich Pensum: 80–100 %, Reisebereitschaft vorausgesetzt Stufe: Senior Consultant oder Manager, je nach Erfahrung Make Data Ready for Agentic AI Bei Xebia gestalten wir die Zukunft von Data, AI und Cloud. Mit über 5'000 Expert:innen weltweit unterstützen wir führende Unternehmen dabei, Daten in Wettbewerbsvorteile zu verwandeln und innovative AI-Lösungen erfolgreich umzusetzen. Zur Verstärkung unseres Data- & AI-Teams in Zürich suchen wir eine Persönlichkeit, die Unternehmen mit Migration, Datenprodukten und Data Governance fit für AI und AI-Agenten macht. Im Fokus stehen Banken, Versicherungen und weitere Finanzdienstleister. Du bist Data Consultant und Data Engineer zugleich: Du leitest Engagements und setzt selbst um. Deine Mission Du sorgst dafür, dass die Daten unserer Kunden bereit für AI und AI-Agenten sind. Du leitest Engagements rund um unsere Agentic Data Foundation, vom Readiness Assessment über die Migration, Datenprodukte, Data Governance und Business-Kontext bis zur Umsetzung auf der Plattform, und packst dabei selbst mit an. Dabei arbeitest du eng mit dem Service Line Lead Data & AI, Sales und Business Development sowie unseren Near- und Offshore-Delivery-Hubs zusammen. Deine Aufgaben Analysieren und konzipieren: Agentic Data Readiness Assessments durchführen, Zielarchitektur und priorisierte Roadmap ableiten Migrieren: Data Warehouses und ETL-Strecken mit Xebia Axis auf moderne Plattformen migrieren, vor allem Databricks Datenprodukte und Governance: Datenprodukte mit Data Contracts aufbauen und Governance im Betrieb verankern, z. B. mit Unity Catalog Business-Kontext für AI: Geschäftsbegriffe, Metriken und Ontologien für AI-Agenten nutzbar machen Engagements leiten: Projekte und Delivery-Teams steuern, Angebote mit Service Line Lead und Sales erarbeiten Das bringst du mit Erfahrung: 5+ Jahre im Data-Umfeld, davon mehrere in der Beratung Migration: Praxis in mindestens einer Migration von Data Warehouse oder ETL auf eine moderne Plattform, idealerweise in leitender Rolle Moderne Data-Plattformen: Architektur und Hands-on in produktiven Umgebungen, idealerweise mit Databricks, sowie Spark, SQL, Cloud und Terraform Data Management und Governance: Praxis in Datenmodellierung, Datenqualität und Lineage, mit Blick darauf, was Daten für AI-Agenten nutzbar macht Zertifizierung: Databricks-zertifiziert oder Zertifizierung innerhalb der ersten 3 Monate Kommunikation: Klar und überzeugend mit Kunden und internen Stakeholdern; fliessend Deutsch und Englisch Von Vorteil Weitere Zertifizierungen: Snowflake, Azure, AWS oder CDMP Datenprodukte: Data Contracts (z. B. ODCS), Data Mesh oder Ontologien AI auf Unternehmensdaten: Chat with your Data, Anbindung von Datenprodukten an AI-Agenten (z. B. via MCP) oder AI Ops (Evals, Guardrails) Branche: Banken, Versicherungen oder andere Finanzdienstleister Sprachen: Schweizerdeutsch und Französisch Das macht uns aus 💡 Innovationspotenzial: Bei Xebia liegt der Fokus auf Innovation und Pioniergeist. Du kannst deine kreativen Ideen entwickeln und innovative Gedanken teilen. 🌱 Persönliches Wachstum: Wir glauben an persönliche Entwicklung für herausragende berufliche Erfahrungen. Entfalte dein Potenzial und wachse kontinuierlich. 🤝 Gemeinschaft und Netzwerken: Xebia bildet eine Gemeinschaft von Technologie-Enthusiasten. Triff Fachleute aus verschiedenen Bereichen, teile Wissen und gestalte gemeinsam Innovationen. ⚖️ Flexibilität: Wir schätzen die Work-Life-Balance. Passe deine Arbeitszeit an und finde eine Balance zwischen Karriere und persönlichem Leben. 🎉 Tolle Social-Events: Skitage, spontane Afterwork-Aperos, Weihnachts- und Sommerfeste – wir feiern gemeinsam. Wenn du bereit bist, deine berufliche Reise zu erweitern, heissen wir dich bei Xebia herzlich willkommen. Wir freuen uns auf dich! Find Jobs in Switzerland on Arbeitnow

................ We are looking for an experienced Data Engineer with strong expertise in Apache NiFi to support our client's team in Maulburg, Germany . In this role, you will provide technical expertise in NiFi and help the team implement and manage data-related processes efficiently and reliably. Your Responsibilities : Provide technical support and expertise in Apache NiFi to the client's team Support the implementation and maintenance of data processing workflows using Apache NiFi Analyse and assist with technical issues related to NiFi Work closely with the client's team to ensure smooth operations and effective implementation of requirements Your Profile: Solid experience with Apache NiFi Experience in data engineering and data processing Independent, structured and solution-oriented working style Strong communication skills and the ability to collaborate effectively with a technical team German language skills preferred; English is also an option Find more English Speaking Jobs in Switzerland on Arbeitnow

Our common vision Our mission is to help marketing teams unlock their full growth potential with AI. Our AI-powered attribution creates real transparency, showing how digital advertising investments perform across channels. On that foundation, we optimize budgets so our customers can sustainably grow their bottom line. We support leading European brands across e-commerce, telco, banking, insurance & energy, and many other industries in making their marketing smarter, more efficient, and more impactful. About the role Nexoya runs fully automated, AI-driven budget optimizations and simulations for enterprise marketing portfolios across many ad channels. Every result that reaches a customer must be correct, explainable and on time. As our ML Intern, you make sure it is: you monitor pipeline health, check the quality of predictions, optimizations and simulations, investigate anomalies and turn recurring manual checks into reliable tooling. You work closely with our ML engineers and Customer Success, and you see directly how your work shapes our customers' budget decisions. Your responsibilities Monitor the automation and assure result quality Monitor the automated prediction, optimization and simulation pipelines across customer portfolios and track run health, completeness and timeliness. Verify that predictions, optimization proposals and simulation results meet our quality standards before they reach customers: budget shifts, expected KPI changes, channel constraints and funnel-level effects. Investigate failed or unexpected runs, identify the root cause (data, configuration or model) and resolve it or escalate it with a clear diagnosis. Assure the quality of results over time Define and maintain plausibility checks for optimization and simulation results, for example for budget planning, seasonal shifts or new channel tests. Make sure results are consistent and explainable, so that customers and account managers can trust them without manual checks. Compare optimized and simulated outcomes with realized performance, document deviations and feed the findings back to the ML team. Safeguard data and model quality Monitor input data for gaps, anomalies and tracking changes that affect optimization quality. Track model fit and prediction accuracy per portfolio and flag degradation early. Maintain portfolio configurations such as funnel steps, constraints and target definitions together with the responsible teams. Automate the operational workflow Replace manual checks with Python scripts, validation rules and alerts. Build and maintain dashboards that show run status, data health and model performance across portfolios. Write runbooks so that operational knowledge is shared, not held by one person. The impact you will have Customers receive optimization proposals and simulations that are correct and delivered on time. Issues are caught before customers see them, not after. The time the ML team spends on operational work goes down measurably, because recurring steps are automated. Customer Success can trust automated optimization and simulation results without checking them by hand. Your experience and skills Recently completed Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related field. Solid Python skills, including pandas and NumPy, and comfort working with SQL. Good understanding of statistics and basic machine learning concepts such as regression, model evaluation and overfitting. A careful, structured way of working: you check results before you share them and you document what you do. Ability to explain technical findings clearly to non-technical colleagues. Fluent English, spoken and written, is a must. Bonus points Experience with optimization methods, for example constrained or non-convex optimization. Familiarity with Marketing Mix Modeling, attribution or digital advertising metrics. Experience with data pipelines, scheduled jobs or monitoring tools. Experience with Git, Docker and cloud environments. Fluent in German or Italian. Your future work life Purpose: Your work directly influences how enterprise marketers allocate their budgets. Responsibility: You own the quality of a defined part of our automation from day one, with a personal development roadmap and regular feedback. Learning: You work alongside experienced ML and data engineers on production systems, not on side projects. Culture: A transparent company culture at eye level, where every person is valued and supported. Strategy: You take part in shaping company strategy and culture during our quarterly Strategy Days. Events: Regular team events, on-site and off-site. Application process Profile review and short phone screen Take-home case study Case discussion with the ML team On-site interview and team evaluation Find Jobs in Switzerland on Arbeitnow

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com Shift Technology : Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results. The Data Science Team 🤖 : The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images. Your key responsibilities will include 🧑‍💻 : Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models. Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions. Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.). Supporting the sales team by participating in prospect demos. Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients. Your profile and requirements ✅ : You are currently enrolled as a master's degree student in either Mathematics, Statistics, Computer Science, Machine learning and/or Big Data. You must be able to provide an internship agreement (Convention de stage) signed by your school or university for 6 months. You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. You are comfortable dealing with clients. French is mandatory at a fluent level and you can communicate clearly in English. You can start your internship around February/March 2027 for 6 months. Why join Shift Technology as a Data Scientist Intern ? 🤸‍♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model. 🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team. 💶Your commitment, our investment : 2000€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team. 🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...) 🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI. What is next ? 🎯 If your application and experience meet our requirements, you can expect : Talent Acquisition interview (30 min) 1st Technical interview(60 min) 2nd Technical interview (60 min) Hiring manager interview (60 min) The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we'd like to highlight: Flexible remote and hybrid working options Competitive Salary and a variable component tied to personal and company performance Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth Generous PTO and paid holidays Mental health benefits 2 MAD Days per year (Make A Difference Days for paid volunteering) Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria. Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email ----- and we will work with you to meet your accessibility needs. Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process. Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology. Find Jobs in France on Arbeitnow

Role Summary We are looking for a Senior Databricks Data Engineer with proven hands-on Databricks experience to build, develop and manage STACK's enterprise data platform. This is a production-focused engineering role requiring practical expertise in Databricks, PySpark, Python, SQL and Delta Lake. The role will design reliable pipelines integrating Finance, Delivery, Operations, HR and PMO systems, establish governed and high-quality datasets, and support secure, scalable analytics and reporting. Working with technical and business stakeholders, the successful candidate will take ownership of data engineering solutions and help improve the reliability and performance of the platform. Key Responsibilities: · Design, develop, deploy and maintain production-grade ETL/ELT pipelines using Databricks, PySpark, Python and SQL, integrating APIs, databases, SaaS applications, files and spreadsheets. · Develop and optimize scalable Delta Lake data models and lakehouse architecture for reporting, analytics and future AI use cases. · Build, schedule, monitor and troubleshoot data processing jobs using Databricks Workflows, Lakeflow or Delta Live Tables, as appropriate. · Apply Unity Catalog governance, including access permissions, data ownership, lineage and common data definitions. · Support Databricks workspaces, compute resources, SQL Warehouses, service principals and access management in partnership with relevant technology teams. · Manage development, test and production deployments, monitoring, incident resolution and recovery, using Git and CI/CD practices. · Optimise pipeline performance, Spark processing, compute usage and platform costs while maintaining appropriate security and operational controls. · Implement data quality checks for completeness, accuracy, timeliness, consistency, duplicates and reconciliation with source systems. · Build monitoring and alerting to identify pipeline failures, data quality issues and operational risks. · Integrate reliable, governed Databricks datasets with Power BI and other approved analytical tools. · Work with Finance, Delivery, Operations, HR and PMO teams to translate requirements into sustainable data solutions. · Document pipelines, dependencies, controls and operating procedures, and coordinate specialist external partners when required. Qualifications: · Strong hands-on experience building and supporting production data pipelines directly in Databricks; experience with other cloud data platforms alone is not sufficient. · Practical experience with PySpark, Python, SQL and Delta Lake, including data transformation and performance optimisation. · Experience orchestrating and troubleshooting Databricks data pipelines using Workflows, Delta Live Tables or Lakeflow. · Working knowledge of Unity Catalog, data governance, access controls and data quality practices (Essential). · Experience integrating data from APIs, business applications, databases and files. · Experience supporting Databricks workspaces, compute resources or SQL Warehouses in a production environment. · Experience with Azure data services, Power BI, Git and CI/CD practices. · Understanding of environment management, monitoring, troubleshooting, security and cost control. · Ability to work with non-technical stakeholders, explain data issues clearly and document solutions effectively. · Strong ownership, prioritisation and problem-solving skills. Certifications (Preferred) · Databricks Certified Data Engineer Professional or Databricks Certified Platform Administrator (if available). Find Jobs in United Kingdom on Arbeitnow

About WPP Media WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . Role Purpose The Platform Operations Director is responsible for ensuring that solutions developed and released for the Solutions team are operationally ready, properly tested, clearly documented, effectively released, and provide support once live. The role acts as the bridge between delivery, business readiness and BAU operations. It supports the transition of work from project delivery into stable operational use, ensuring that users, stakeholders and support teams understand what has changed, how to use it, how to raise issues, and how ongoing support will be managed with appropriate priority, impact and SLAs This role is particularly important as Solutions Integration moves from a more reactive service model into a structured product and agile delivery function. The Platform Operations Director owns QA, release management, documentation, stakeholder communication, support processes, training, adoption and post-release improvement including BAU bugs and triage. The role works closely with Product Owners, Scrum Master, Engineering, Data, Reporting, QA, Platform Operations, and business stakeholders to make sure delivery does not stop at "built", but continues through testing, launch, adoption, support and measurable operational value. Senior / Specialist-Level Expectations As a Director within the team, this role is expected to help define and improve the operating standards around BAU management, QA coordination, release readiness, business readiness and service transition. Manage and proactively manage risk, resolution SLAs and ensure we are adhering to platform operational best practices. The Platform Operations Director should be able to identify operational risks early, challenge whether a solution is genuinely ready for release, and recommend practical improvements to processes, documentation, testing, support models and stakeholder communications. For smaller initiatives, the role should be able to advise Product Owners and delivery teams on the appropriate level of QA, training, release planning, handover and BAU support required. For larger or more complex initiatives, the role should escalate risks, dependencies or readiness gaps to the Product Manager Lead, Scrum Master, Lead Engineer / Solutions Architect or relevant leadership stakeholders. Key Responsibilities 1. BAU Operations Management Own and coordinate BAU operational processes for assigned platforms, tools, reports, workflows and solutions across all Media solutions. Monitor recurring issues, support trends, operational risks and user pain points. Triage and prioritise BAU requests, incidents, defects and enhancement requests. Ensure BAU work is captured through the agreed intake and backlog process rather than unmanaged emails, verbal requests or fragmented ticket routes. Work with Product Owners and the Scrum Master to distinguish between BAU support, defects, enhancements and new product requirements. Maintain visibility of BAU demand and help identify where recurring issues should become product improvements or engineering fixes. Support continuous improvement of support processes, documentation and operational workflows. This links directly to the team's wider shift away from fragmented request routes and towards clearer delivery rhythms, structured backlogs and improved operational process discipline. The existing documentation notes the need for clearer team rhythms, sprint cadences, retrospectives and mentoring as part of the transition plan . 2. QA Coordination and Testing Readiness Coordinate QA activity across delivery workstreams, ensuring testing requirements are understood before development begins. Work with Product Owners to ensure acceptance criteria, test scenarios and success measures are clearly defined. Support test planning across functional testing, regression testing, data validation, reporting checks and user acceptance testing. Ensure defects are logged, prioritised, tracked and resolved through the agreed delivery process. Work with engineers, analysts and business users to validate that solutions meet functional, operational and reporting requirements. Support the creation of reusable QA checklists, test scripts and validation templates. Ensure solutions are not released without appropriate testing evidence and business sign-off. This is consistent with the Product Owner responsibilities already defined around testing requirements, success criteria, UAT coordination, business validation, release readiness and operational handover . The Platform Operations Specialist would support and operationalise those activities. 3. Business Readiness and Adoption Ensure business users and operational teams are ready to adopt new or changed solutions. Coordinate training, guidance, demos, FAQs, release notes and user communications. Work with Product Owners to identify impacted teams, users, processes and workflows. Confirm that business teams understand what is changing, why it is changing, when it is happening and what action is required. Support stakeholder communications before, during and after release. Gather early feedback from users and ensure issues are captured and prioritised appropriately. Help ensure delivered solutions are embedded into day-to-day operations, rather than remaining underused or misunderstood. The handover documentation highlights the importance of clear communication with users, proper release notes, demonstrations and adoption support for new features and solutions . This role should own the operational discipline around making that happen consistently. 4. Release Readiness and Service Transition Own or coordinate release readiness checklists for assigned solutions. Ensure each release has appropriate testing evidence, documentation, support ownership, training material and stakeholder communication. Coordinate operational handover from delivery teams into BAU support. Confirm that runbooks, troubleshooting guides, known issues and escalation routes are in place. Work with engineering and data teams to ensure monitoring, alerting or manual checks are defined where required. Support go-live planning, release scheduling and post-release hypercare. Track post-release issues and ensure learnings are fed back into future delivery cycles. This role should become the person asking: "Are we actually ready to put this live, support it, explain it, and measure whether it worked?" 5. Documentation and Knowledge Management Maintain clear operational documentation for platforms, reports, tools, processes and workflows. Support the creation of user guides, SOPs, runbooks, release notes, FAQs and support documentation. Ensure documentation is stored in the agreed location and kept up to date. Work with Product Owners, engineers and analysts to document key dependencies, business rules, known limitations and support processes. Help reduce reliance on individual knowledge by making processes and system behaviour transparent. Support onboarding of new team members by maintaining accessible knowledge resources. This is important because the team is moving away from legacy ways of working and informal knowledge transfer into a more structured operating model. 6. Platform and Process Governance Support the consistent use of agreed tools, workflows, ticketing processes and delivery governance. Help ensure work is captured, categorised and progressed through the correct routes. Maintain standards for BAU tickets, defects, release requests, support issues and operational change. Identify process gaps, duplicated effort or inconsistent ways of working. Recommend improvements to BAU processes, support models, QA standards and release governance. Support reporting on operational performance, support demand, defect trends and release readiness. Help ensure changes are controlled, documented and aligned to agreed team practices. This aligns with the documented need to improve proactive behaviour, structured product management, backlog grooming, stand-ups and retrospectives across the team . 7. Stakeholder and Cross-Team Coordination Work closely with Product Owners, Engineering, Data, Reporting, QA, Scrum Master and business users. Coordinate with Activation, Operations, Channel Development, Commercial and other impacted teams where relevant. Ensure operational dependencies are understood and managed before release. Help stakeholders understand support routes, known issues, timelines and release impacts. Escalate operational risks, unresolved defects, readiness gaps or business adoption concerns. Support regular BAU and platform operations updates for leadership where required. The existing Product Owner documentation already describes the importance of coordination across engineering, data, reporting, platform, operations and business teams . The Platform Operations Specialist should provide the operational control layer that supports this. Skills and Experience Essential Experience in platform operations, service transition, QA coordination, business readiness, delivery operations or technical operations. Strong understanding of BAU support processes, release management and operational handover. Experience coordinating UAT, defect tracking, test planning or business validation activity. Ability to create clear documentation, user guides, process notes, release communications and operational runbooks. Strong stakeholder management skills, with the ability to work across technical and non-technical teams. Good understanding of agile or product-led delivery environments. Ability to identify operational risks, readiness gaps, support issues and process improvements. Strong organisational skills and attention to detail. Confident using Jira, Confluence, ServiceNow, Azure DevOps or similar delivery/support tooling. Ability to communicate clearly with users, delivery teams and senior stakeholders. Desirable Experience working in media, advertising, ad tech, martech, reporting, data or platform environments. Experience supporting reporting platforms, dashboards, data products or operational workflow tools. Understanding of data validation, reporting QA or campaign performance data. Familiarity with cloud-based platforms such as GCP, AWS, BigQuery or Snowflake. Experience working with engineering, data engineering or analytics teams. Experience supporting transformation from reactive support models into structured product or agile delivery models. Familiarity with WPP, WPP Media, Choreograph or similar enterprise platform environments would be beneficial. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide. Find Jobs in United Kingdom on Arbeitnow

Transforming factory scans into digital reality At RIIICO, we're reimagining how factories adapt to change. Our AI-powered software makes complex production environments editable, interactive, and collaborative, turning manufacturing planning into something anyone can engage with, not just the experts. We're looking for a 3D Data Operator to help power the foundation of our digital factory experiences. No point cloud experience needed, just an eye for detail and curiosity about 3D. In this role, you'll work at the intersection of 3D reality and AI, transforming raw point cloud data into accurate digital twins of real-world production environments. From data preparation to model generation and delivery, you'll help ensure quality, consistency, and continuous improvement across our data pipeline. Your daily work Process 3D scan data (point clouds) and transform it into usable digital factory models using our internal tools and workflows. Run basic pipeline commands for data preparation and AI processing. Configure and verify model outputs to ensure quality, consistency, and usability for downstream applications (e.g., Nvidia Omniverse, Siemens Plant Simulation and others). Collaborate with AI-assisted tools to validate and correct automated results. Flag and troubleshoot anomalies or edge cases in raw or processed data, and document issues clearly (e.g., as Git issues). Track and report your weekly processing output. Continuously improve workflows and documentation based on team feedback and real-world challenges. What we are looking for Strong attention to detail and ability to reliably handle repetitive tasks with care. Self-motivated and dependable: you take responsibility and get things done. Comfortable following defined workflows and standards, and asking for help when something is unclear. Team player with a proactive mindset: you enjoy working in a collaborative team. Fast learner: no prior experience with point clouds required; you're comfortable picking up new tools and workflows quickly. Basic digital literacy: you're confident navigating structured software tools, browser-based interfaces and Microsoft Office. Bonus: Familiarity with 3D environments (e.g., through gaming, CAD, or similar), or a general spatial intuition. English is a must; proficiency in German is a plus for clear communication with the team. Please note: A valid work permit or residence permit for Germany is required for this position. This is a 12-month fixed-term position, with the opportunity to extend or move to a permanent contract based on performance and business development. Benefits Additional vacation days Flexible working hours Hybrid office culture Public transport subsidy Why You Should Join Build something that makes a tangible difference in the world's most important sector: manufacturing. Help shape a product that is being built from first principles. Collaborate with a sharp, hands-on team that values speed, clarity, and ownership. Backed by top international investors and preparing to scale. Find Jobs in Germany on Arbeitnow

FUNCTION & DUTIES:Under the Assistant Director of Complementary Services, the Consultant will work in close collaboration with the other special education consultants in all areas of special education to provide services to special needs students in Inuktitut and to contribute to the in-service training and course sessions of Inuit teachers. Assessment and diagnosis of students with suspected learning problems in the schoolsIdentification of students with emotional and/or behavioural problemsTraining and support for the special education teachers and counsellors within the BoardOn-going development of culturally appropriate diagnostic tools and remedial materialIn-service and teacher training in the areas of educationInvolvement in on-going research concerning language of instruction. QUALIFICATIONS:Valid teaching diploma in the province of Quebec or close to graduating from the Kativik-McGill Teacher Training ProgramAt least three (3) years of teaching experience with children with special needs. The Board may, at its discretion, waive any or all of the afore-mentioned qualifications if it finds a suitable candidate who is a beneficiary of the James Bay and Northern Québec Agreement (JBNQA) and who accepts, as a condition of employment, to follow a training plan determined by the Board. REQUIREMENTS:Fluency in written and spoken Inuktitut and a good command of a second language (French or English)Knowledge of diagnostic and remedial tools in InuktitutAvailable to travel regularly. CLASSIFICATION / SALARY / BENEFITS:In accordance with the SPPENOM collective agreement for professionals. This position belongs to job category 2104: from $56,670 TO $105,432 annually depending on qualification and experience. All benefits are prorated based on the percentage of the task.

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 the Vehicle and Equipment Training Coordinator, you will be scheduling all vehicle and equipment training for Mobility operations, including recertifications, remedial training, equipment upgrades, and new staff onboarding. In this position, you will support multiple operational groups across 15 locations and 20 shifts and also support a variety of adult learning activities related to orientation, training rollouts, learning initiatives, and employee development. You will also maintain training records and supports compliance with training, CUPE 37 collective agreement, and MOU requirements. Primary duties include:Coordinate one-on-one vehicle and equipment training across Mobility operational groups by creating efficient training schedules, prioritizing requests, balancing operational readiness, trainer availability, vendor capacity, equipment constraints, employee release time, and shift requirements.Work with internal leaders, employees, Trainers, and vendors to clarify training needs, provide updates, resolve scheduling issues, manage expectations, and adjust training plans based on changing operational priorities.Input relevant course data into the LMS and use LMS information to create training gap reports that support leader decision-making.Track training activity by division, equipment type, employee qualification status, and training priority to support compliance and seasonal readiness goals. Develop and maintain training status tracking tools, dashboards, and summary reports that give leaders visibility into training progress, outstanding requests, queue status, employee training needs, and upcoming training priorities.Coordinate prerequisite, compliance-based, recertification, corrective, and seasonal training needs, including the rollout of updated training documentation and verification of employee training acknowledgements when operational, safety, or equipment-related issues are identified. Qualifications A completed 2 year Diploma in Business Administration, Adult Learning, Event Management, or a related field and at least 3 years of related experience.Experience in an organizational effectiveness or learning and development role is required.Intermediate level of proficiency in Microsoft Office (Word, PowerPoint and Excel) is also required.Proficiency working with PeopleSoft Human Capital Management (HCM), Sum Total Learning Management System, SharePoint and Livelink would be considered an asset.Success in this position requires the following:Customer service and communication skills.Ability to work with people at all levels of the organization, solve problems both independently and as part of a larger team.Strong organizational skills and attention to detail are essential. Pre-employment Requirements Successful applicants must provide proof of qualifications.Workstyle This position may be eligible to work from home for at least part of the time as one of several flexible work options available to City employees. These arrangements depend on the operational requirements of the role,

FUNCTION & DUTIES:Under the supervision of the Assistant Director General, the Centre Director is the senior administrator of the Board in his/her community and is responsible for all aspects of the organization and administration of the community school and its related services. Other duties include:Responsible for the implementation of Board and local policy as determined by the Commissioners and the local Education Committee.Is the liaison between the community and theResponsible for the organization and supervision of the physical plant including school, residences, shops, warehouse, vehicles and equipment.Is the Secretary-Treasurer of the local EducationSupervise, mentor and manage employees under their responsibility.Is responsible for all aspects of the organization and administration of Board activities within his/herQUALIFICATIONS:Undergraduate degree in a relevant field of study certifying a minimum three (3)-year university program or hold a senior or senior executive staff position, excluding a position as manager, in a board.The Board may, at its discretion, waive any or all of the aforementioned qualification requirements if it finds a suitable candidate who is a beneficiary of the James Bay and Northern Québec Agreement and who accepts, as a condition of employment, to follow a training plan determined by the Board. REQUIREMENTS:Fluency in Inuktitut and either French or EnglishA minimum of three (3) years of experience in the field of administration or education or equivalent relevant experience recognized by the BoardMust have been a full-time resident of an Inuit community of Nunavik for at least ten (10) yearsAn understanding of the Quebec Education system and Chapter 17 of the James Bay and Northern Quebec Agreement is an asset. CLASSIFICATION / SALARY / BENEFITS:Class 00-08 as per the working conditions of managers at KI: from $100,606 to $134,139 annually depending on qualifications and experience. All benefits are prorated based on the percentage of the task. No housing available for this position

Education: Earned doctorate degree. Engineering, general. Area of work experience: Teaching. Research. Personal suitability: Accurate. Dependability. Efficient interpersonal skills. Excellent oral communication. Excellent written communication. Flexibility. Initiative. Judgement. Organized. Reliability. Team player. Innovation. Screening questions: Are you available to start on the date listed in the job posting?. Do you have experience working in this field?. Do you have the required certifications listed in the job posting?. Do you meet the language requirements listed in the job posting for the position (English or French)?. Experience: Experience an asset. Workplace information: Hybrid. Health benefits: Disability benefits. Health care plan. Paramedical services coverage. Vision care benefits. Financial benefits: As per collective agreement. Group insurance benefits. Life insurance. Pension plan. Long term benefits: Long-term care insurance. Maternity and parental benefits. Other benefits: Learning/training paid by employer. On-site amenities. On-site daycare available. On-site recreation and activities. Other benefits. Paid time off (volunteering or personal days). Team building opportunities. Parking available. Travel insurance. Wellness program. Support for persons with disabilities: Provides physical accessibility accommodations (for example: ramps, elevators, etc.). Provides visual accessibility accommodations (for example: braille, screen readers, etc.). Provides auditory accessibility accommodations (for example: transcription software, teletypewriters, etc.). Offers mentorship, coaching and/or networking opportunities for persons with disabilities . Provides awareness training to employees to create a welcoming work environment for persons with disabilities. Applies accessible and inclusive recruitment policies that accommodate persons with disabilities . Support for Indigenous people: Offers mentorship, coaching and/or networking opportunities for Indigenous workers . Develops and maintains relationships with indigenous communities, indigenous-owned businesses and organizations . Provides cultural competency training and/or awareness training to all employees to create a welcoming work environment for Indigenous workers . Supports for visible minorities: Applies hiring policies that discourage discrimination against members of visible minorities (for example: anonymizing the hiring process, etc.). Offers mentorship programs that pair members of visible minorities with experienced employees. Provides diversity and cross-cultural training to create a welcoming work environment for members of visible minorities.

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. Role Summary Nebius Token Factory is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable, cost-efficient endpoint. The work sits at the intersection of model internals, inference engines, serving architecture, benchmarking, and production deployment. What You Will Do Own a platform-level optimization pillar such as quantization, speculative decoding, KV -cache optimization, engine selection, or long-context serving. Create reusable evaluation, benchmarking, and rollout frameworks across multiple model families. Provide technical direction to MLEs, Applied Scientists, GPU kernel engineers, and infrastructure engineers on shared performance goals. Optimize LLM and VLM endpoints for latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, or similar systems. Build and productionize model-compression workflows, including quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. Build reproducible benchmark harnesses for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Partner with GPU kernel engineers and platform engineers to diagnose bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Write clear design docs, performance reports, rollout plans, and customer-facing technical explanations. Required Qualifications Strong Python and PyTorch engineering skills. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference systems. Practical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. Strong understanding of transformer inference bottlenecks, including KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to reason quantitatively about latency, throughput, quality, utilization, and cost tradeoffs. Strong communication skills and ability to collaborate with research, kernel, infrastructure, product, and customer teams. Preferred Qualifications Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant, or related techniques. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or other inference acceleration methods. Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. CUDA or Triton familiarity, even if the role is not primarily a kernel-engineering role. Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects. 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