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We are seeking a talented and experienced Blockchain Developer to join our growing technology team in the United States. Design, develop, and maintain blockchain-based applications and decentralized systems.

Design, develop, and maintain GIS software applications and geospatial solutions. Build interactive mapping applications and location-based services.

Drive sales of. LV switchgear and Industrial Automation products.

Channel Account Managers are part of a team at Huntress who play a critical role in driving revenue through engagement, expansion, and retention across our partner base. Act as a trusted advisor to customers, delivering solutions that increase satisfaction, strengthen Huntress adoption, and create measurable value across their environment.

Senior Channel Account Managers at Huntress play a critical role in driving revenue through engagement, expansion, and retention across our partner base. Achieve and exceed quota based on expansion performance and renewal outcomes.

Conduct outbound calls to physicians, discharge planners, hospice agencies, senior living communities, and skilled nursing facilities throughout Southern California.

We are looking for a versatile, growth-minded Product Marketing Manager to lead our strategic expansion into the furniture segment. You will be responsible for turning our product’s value into aggressive market traction, focusing on tactical adoption of successful industry strategies over theoretical benchmarking.

Talk with dog owners who reached out for help (warm inbound and follow-up leads, no cold calling). Learn their dog, their home and their goals, then match them to the right training program.

They are now seeking to hire a CSR Admin to provide frontline customer service and administrative support to the operations team. This role focuses heavily on lead management, customer confirmations, scheduling, and follow-ups to ensure seamless daily operations.

We are seeking a dedicated, highly reliable, and detail-oriented Bookkeeper & Admin Support Specialist to manage day-to-day financial operations across three related entities. This role is designed for a self-motivated professional who takes true ownership of their work.

The Customer Service Officer serves as one of the key representatives of the brand, working closely with multiple internal teams to assist customers by addressing inquiries, resolving concerns, and providing timely support across various communication channels.

This is a post-sale, account-first role. You'll carry a book of client-assistant pairings and be accountable for how well each one works — from day one of onboarding through every milestone after.

We are looking for a highly organised and proactive E-commerce & Operations Coordinator to support the day-to-day operations of a growing wellness brand across New Zealand and Australia. Manage customer enquiries across email, live chat, helpdesk, website, and social media channels.

Are you the person who never lets an interview slip through the cracks? We’re looking for a highly reliable coordinator to ensure every scheduled interview happens smoothly.

Answer incoming customer calls during peak times when the Australian team is busy. Respond to customer emails and support tickets within the help desk.

Location: Spain; Germany; Portugal; Greece; Bulgaria; United Kingdom RealAdvisor es una de las principales plataformas digitales del sector inmobiliario en Europa. Fundada en Suiza, actualmente colaboramos con más de 5.000 agencias inmobiliarias y recibimos más de 10 millones de usuarios al año en distintos mercados europeos. Estamos creciendo rápidamente con una misión clara: ayudar a los profesionales del sector inmobiliario a aumentar su negocio mediante datos, transparencia y tecnología inteligente. En RealAdvisor valoramos la responsabilidad, la autonomía y la capacidad de generar un impacto real. Tipo de colaboración Colaboración como freelance. Es necesario ser autónomo (o estar dispuesto a darse de alta como autónomo, según la normativa de su país). Ofrecemos Colaboración a largo plazo. Una cartera de clientes y un mercado claramente definidos. Un proceso comercial estructurado. Apoyo continuo por parte de un equipo internacional. Posibilidades reales de crecimiento hacia puestos de mayor responsabilidad o liderazgo. Es una excelente oportunidad para profesionales con mentalidad emprendedora que buscan autonomía y desean ser responsables directos de sus resultados. Principales responsabilidades Prospección comercial outbound. Seguimiento de leads inbound y de oportunidades generadas por el equipo SDR. Realización de demostraciones y presentaciones comerciales por videollamada. Negociación y cierre de contratos. Venta consultiva orientada a ofrecer soluciones al cliente. Gestión integral del pipeline comercial. Análisis de las necesidades de los clientes y presentación de propuestas de valor. Colaboración estrecha con los equipos de Marketing y Customer Success. Requirements Experiencia en ventas B2B. Fuerte orientación a resultados. Capacidad de organización y trabajo autónomo. Mentalidad emprendedora. Experiencia utilizando CRM (Salesforce, HubSpot, Zoho o plataformas similares). Español (Castellano) nativo. Experiencia realizando cold calling . Capacidad para organizar y llevar a cabo demostraciones comerciales (sales demos). Se valorará experiencia previa en el sector inmobiliario. Benefits Remuneración altamente competitiva basada en comisiones , con un importante potencial de ingresos en función de los resultados obtenidos. Los colaboradores con mejor rendimiento superan ampliamente la media del mercado (hasta 35.000 € en un solo mes ).

Location: Intellias Meet your recruiter Dariia Ulianova dariia.ulianova@intellias.com https://www.linkedin.com... Vacancy details Business Analysis Business Analyst Senior Business Analyst Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND We are hiring a Business Analyst to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. You will bridge the client’s domain owners and stewards on one side and the delivery engineers on the other, and you will own the backlog in Azure DevOps. What project we have for you Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. What you will do Data Modelling Run data modelling workshops with business SMEs, domain owners, analysts. Design conceptual and logical data models across multiple business domains, working from business definitions as well as from existing data structures in mastering systems. Model business complexity appropriately: e.g. class hierarchies, inheritance, controlled vocabularies, reusable patterns, shared data domains, business rules, and define where cross-domain references exist. Present models back to stakeholders for review, information-sharing, and agreement Ensure every model element traces back to a business term from data governance, and that the trace survives all the way to the delivered column. Help to resolve conflicts or missing inputs/outputs where they exist Review other domain data models from the modelling team. We envisage a small team of modellers who contribute to the federated data model as a whole. Standards and federation Contribute to and enforce the modelling standards that make federated delivery safe: naming conventions, data type standards, model layering rules, and the conventions that prevent domains colliding as the model grows Define reusable enterprise-level structures — shared types, reusable/common patterns, balancing core versus domain-local Delivery and automation Work in Git and GitHub as your primary environment: branches, pull requests, code review, releases Review model changes raised by others — including, ultimately, any changes drafted by AI agents — and apply the judgement that automated checks cannot Version models, assess the impact of breaking changes on downstream consumers in order for migration planning Contribute to the automated checks that enforce standards in CI, in collaboration with engineering Have input into the logical-to-physical mapping — deciding and documenting where a normalised structure can/should be denormalised for query performance or analytics (e.g. a data product), an define agreed and named patterns for these transformations rather than ad-hoc judgement so they can be automated. What you need for this Key Responsibilities Substantial data modelling experience, with a track record of conceptual, logical modelling that powered physical models that went into production, consumed, iterated upon & versioned accordingly. You must be competent in the principles of abstraction, inheritance, normalisation. Experience with dimensional/denormalization techniques. Demonstrable domain knowledge in asset/investment management, or a closely related financial services area — sufficient to hold a credible conversation with a SME, e.g. a portfolio manager, a fund accountant or a risk analyst about what their data actually means. We are building out domain by domain. You would be expected to develop working depth across more than one area. We expect some in depth asset management knowledge in at least 3 of these areas: Instrument/Security reference, Index & Benchmarks, Party, Counterparty/ Client, Portfolio, Holdings & Valuations, Execution, Trade Life cycle, Performance & Attribution, ESG/sustainability, Fund Accounting, Sales & Marketing Working fluency with Git and GitHub: branching, pull requests, resolving conflicts, reviewing others’ changes. You do not need to be a software engineer, but you must be comfortable that your model lives in a repository and moves through code review. Comfort authoring in YAML, and working with JSON data – plus the willingness to learn a schema language – prior exposure is welcome but not expected. Experience establishing or working to modelling standards — naming conventions, data dictionaries, glossaries, and the ability to add/enhance those standards as part of the platform maturation and greater automation. Soft Skills: The ability to run a workshop with business stakeholders and leave with clarity, and not a list of open questions. Precision with language. Dealing with ambiguity. Much of this role is writing definitions that all stakeholders can agree on. Nice to have: Databricks, Delta Lake or a comparable Lakehouse platform Data contracts, particularly ODCS, or equivalent interface-versioning practice CI/CD concepts Experience of developing/using agentic workflows for delivering model artefacts Experience of a federated or data mesh operating model, and its failure modes Traditional modelling tools such as Erwin, ER/Studio is useful, for reference, however our way of working will be different. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Fintech

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work. Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another: Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source. Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records. AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows. Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams. What you will do Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability. What you need for this Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore. Requirements 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking). Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands-on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands-on detail. English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders. Nice to have Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification. Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems. Power BI / Microsoft Purview / Power Platform / Copilot Studio. Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling. Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions). Azure / Fabric certifications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.