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Stories like this one aren't rare at HSO, they're the norm. If you're curious what it's actually like to work here, these open roles are a good place to start.
Building Solutions That Scale
From computational chemistry to custom development, Addison Fischer's journey into technology has been anything but conventional.

"I enjoy working on challenges that go beyond standard solutions. At HSO, you're surrounded by highly capable people who bring different strengths and create an environment where you're constantly learning."
Building Beyond the Box: Creating Smarter Solutions Through Engineering
Today, as a Senior Technical Consultant at HSO, he works on solving complex client challenges where standard approaches aren't enough, combining deep technical expertise with a passion for building scalable, high-performance solutions.
At HSO, Addison Fischer is often brought into projects when solutions need to move beyond configuration and into more deliberate, engineered design. As a Senior Technical Consultant, he focuses on custom development and performance optimization across the Microsoft platform, particularly in environments with complex data and demanding business processes.
Colleagues know Addison as someone who is comfortable working in the deeper layers of a solution, where structure, performance, and scalability matter most. HSO supports this kind of work by encouraging close collaboration between architects, developers, and consultants, creating space for deeper engineering when it delivers clear value for clients.
Addison’s interest in technology started early. Growing up around computers and building his first system with his grandfather at a young age, development became something he continued to return to throughout school. By high school, he was already writing code and developing technical skills alongside his academic studies.
Although technology was always part of his life, his formal education followed a different path. Addison studied computational chemistry, completing his bachelor’s degree and continuing into a PhD program before working in the pharmaceutical industry. During that time, programming remained central to how he approached complex scientific problems.
That combination of scientific thinking and development experience eventually led him into technology consulting.
Addison’s career at HSO began as a Database Engineer. His first Microsoft‑focused role was as a Power BI developer, which provided valuable exposure to the platform but felt limiting compared to the types of development challenges he wanted to take on.
Over time, he began shifting toward Power Platform development and more pro‑code solutions, where deeper technical design and performance considerations played a larger role. That transition helped shape the focus of his work today.
In his current role at HSO, Addison helps clients address challenges that standard low‑code solutions cannot easily solve. He is often involved when the underlying structure of a system needs to change, not just the configuration around it.
Clients typically bring him in when solutions need to scale, improve performance, or support more complex business logic than originally anticipated.
One recent example is a forecasting and project hub solution Addison worked on for a client managing large volumes of data. The challenge was not only delivering the required functionality, but also ensuring the system could retrieve and process information quickly enough to remain responsive.
Addison focused on custom JavaScript development and performance optimization, working alongside an architect and a UI specialist to shape the solution. The result was a model‑driven application supported by custom web resources built using React.js, designed to handle complex forecasting models efficiently.
“Low‑code and no‑code solutions are great, but sometimes people get ahead of themselves. With the right approach, things can be a lot faster.”
Addison led the custom code development for the solution and influenced how the application was structured, how complex processes were implemented, and how forecast snapshots were managed.
The solution connected multiple Microsoft technologies, including Dataverse, Dynamics 365 CE, Azure services, API Management, Power BI, Power Apps, and plugins. Together, these components supported a scalable platform that replaced manual processes with a more structured application experience.
Before the solution was implemented, the client relied heavily on spreadsheets and a legacy system to manage forecasting. After delivery, those processes were automated and presented through a user interface aligned more closely with how teams worked day to day.
The result was a more efficient and scalable approach to managing forecasting and related business processes across the organization.
For Addison, one of the most distinctive aspects of working at HSO is the people.
“My coworkers are highly competent, and everyone brings different strengths. We share knowledge, and the discussions are usually on the same level or higher.”
That environment makes it possible to take on technically challenging work while continuing to learn from others across the organization.
My coworkers are highly competent, and everyone brings different strengths. We share knowledge, and the discussions are usually on the same level or higher.

Addison sees AI as another tool that helps teams work more efficiently and gain deeper insight into their data. Rather than replacing development work, it supports better decision‑making and helps clients explore their business processes more clearly.
As clients continue working with larger datasets and increasingly complex systems, he expects tools like AI to become a natural extension of how modern solutions are designed and delivered. At HSO, that evolution is something he is looking forward to being part of.


HSO by the numbers: our history is our strength
30+ years of experience with the Microsoft platform
3,000 employees worldwide
2,000+ unique clients worldwide and 2,500+ projects delivered
26 Partner of the Year Awards
22 years consecutive Microsoft Inner Circle partner
Join the team
Think you'd fit in too?
Stories like this one aren't rare at HSO, they're the norm. If you're curious what it's actually like to work here, these open roles are a good place to start.
Data & AI
As a Senior Data Architect you can expect to... Architect, lead, and deliver complex data modernization initiatives leveraging Azure Synapse, Microsoft Fabric, Azure Data Lake, Databricks, and related Azure services. Drive on-premises to Azure migration strategies, modernizing legacy data warehouses into scalable lakehouse and Delta Lake architectures. Design and implement enterprise data integration frameworks across Dynamics 365 F&O, Dynamics 365 CE, Salesforce, SAP, Workday, and third-party platforms using Azure-native services and Data API Gateways. Build, optimize, and maintain advanced data pipelines in Azure Synapse and Azure Data Factory (ADF), supporting both full and incremental data loads from cloud and on-premises environments. Establish scalable, cost-efficient, and high-performing data architectures by driving performance optimization and platform best practices across Databricks and Synapse environments. Implement enterprise-grade data platform capabilities including Delta Lake features such as CDC, schema evolution, and slowly changing dimensions (SCDs). Apply modern governance, security, and observability frameworks using Azure Purview, Key Vault, and Data Mesh principles to ensure trusted and compliant data solutions. Lead the design and implementation of reusable CI/CD frameworks using Azure DevOps, GitHub, ARM templates, and PowerShell automation. Partner with cross-functional Microsoft service line teams, including Power Platform, Dynamics 365, Azure Infrastructure, and Modern Work, to deliver integrated client solutions. Serve as a trusted advisor by contributing to client roadmaps, strategy discussions, proposals, steering committee meetings, and executive communications while ensuring customer satisfaction and delivery excellence. You’re great at... Leading complex on-premises to Azure data transformation journeys across large enterprise environments. Designing modern data platforms using lakehouse, Data Mesh, microservices, and cloud-native architectural patterns. Building near real-time ingestion and processing solutions using technologies such as Kafka, Event Hubs, or similar platforms. Integrating Azure AI and machine learning services to enhance analytics and intelligent decision-making capabilities. Developing and managing automated deployment and CI/CD pipelines using Azure DevOps, GitHub Actions, ARM/Bicep, and PowerShell. Communicating complex technical concepts effectively to executives, business stakeholders, and technical teams. Mentoring data engineers, guiding solution architecture decisions, and ensuring delivery quality across multi-team engagements. Ensuring data quality, integrity, governance, and security throughout the data lifecycle. Thriving in a collaborative environment while solving complex challenges with creativity, adaptability, and a commitment to continuous learning. Sound interesting? If so, you’ll have... A bachelor’s degree in Computer Science, Information Technology, or a related field. 10+ years of experience in data architecture, ETL, data warehousing, and cloud transformation initiatives. Deep expertise with Azure Synapse, Databricks, Spark, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Functions, Python, and SQL/T-SQL. Proven experience optimizing cloud platform cost, performance, scalability, and operational efficiency. Strong knowledge of Data Mesh, Delta Lake, Azure Purview, and modern data governance and observability frameworks. Hands-on experience building scalable real-time ingestion, data processing frameworks, and enterprise data platforms. Strong understanding of Common Data Model (CDM), Dataverse, Power BI Dataflows, and integrations with Dynamics 365 and other enterprise applications. Experience with Azure Key Vault, Logic Apps, runbooks, DevOps pipelines, PowerShell scripting, ARM templates, Git, and CI/CD automation. Demonstrated success leading client-facing architecture discussions, technical solution delivery, and enterprise transformation programs. Strong analytical, problem-solving, communication, collaboration, and business process analysis skills, with the ability to guide clients through complex challenges. The Perks We offer competitive pay with a performance-based bonus. Our employees also enjoy unlimited paid time off and a flexible and affordable benefits program designed to help you be and stay well, including: medical, dental & vision coverage, flexible spending accounts, health reimbursement account, and a 401(k) plan with a company match. Additionally, you’ll have the benefit of working alongside enthusiastic and energetic teammates in a dynamic and thriving environment. HSO is an Equal Opportunity Employer.
Data & AI
As a Senior Project Manager (Data & AI) you can expect to… Lead the successful delivery of Data & AI programs ranging from cloud modernization and analytics initiatives to AI adoption and enterprise data platform implementations. Manage the full project lifecycle across small to large engagements, including scope, schedule, budget, resources, risks, issues, change control, and delivery governance. Develop and maintain project plans, milestone schedules, RAID logs, sprint plans, status reporting, and delivery tracking mechanisms that provide visibility and accountability across stakeholders. Facilitate discovery workshops and design sessions to gather requirements, align stakeholders around business objectives, and establish clear delivery roadmaps. Lead executive steering committees and governance forums, translating complex delivery information into actionable insights, decisions, and recommendations. Oversee multi-team delivery efforts by managing dependencies across client teams, delivery teams, third-party vendors, Microsoft partners, and other stakeholders. Establish and reinforce effective project governance, including roles and responsibilities, communication plans, escalation paths, and ways of working that support delivery success. Drive proactive risk identification and mitigation strategies while ensuring timely resolution of issues that could affect scope, timelines, quality, or business outcomes. Support customer success by maintaining strong alignment between project execution, stakeholder expectations, adoption objectives, and measurable business value realization. Guide release and deployment planning activities, including multi-sprint delivery models, ensuring successful transitions from development through production deployment. You’re great at… Managing multiple projects and priorities simultaneously while maintaining a high standard of delivery quality. Bringing structure, clarity, and momentum to ambiguous situations by developing actionable plans and driving measurable progress. Building trusted relationships with clients, partners, executive sponsors, and delivery teams. Prioritizing work effectively and communicating commitments clearly across both business and technical audiences. Driving proactive governance and risk management practices that prevent issues rather than reacting to them after they occur. Communicating confidently with executive stakeholders, project teams, and technical specialists. Leading change management and adoption efforts, particularly within data, analytics, and AI-driven transformation initiatives. Solving complex challenges through structured thinking, strong facilitation skills, and practical, business-focused solutions. Learning new concepts, technologies, and delivery approaches quickly within a rapidly evolving Data & AI landscape. Promoting the mission and Shared Values of our company. Sound interesting? If so, you’ll have… Bachelor’s degree or equivalent professional experience. 7+ years of project management experience delivering complex enterprise technology programs. Experience managing data, analytics, cloud, or AI-related delivery projects; consulting experience is a plus. Demonstrated success leading cross-functional teams that include business stakeholders, project managers, architects, engineers, developers, and technical specialists. Strong experience with project delivery methodologies including Agile/Scrum, Hybrid, and Waterfall approaches. Proven ability to manage project scope, schedules, budgets, resources, dependencies, risks, issues, change requests, and delivery governance. Strong stakeholder management, facilitation, and communication skills, including experience leading executive steering committees and client-facing engagements. Experience establishing project governance frameworks, maintaining delivery documentation, and delivering clear project reporting. Working knowledge of data governance, privacy, security, and responsible data management practices. Experience managing project financials, commercial delivery, forecasting, burn rates, margins, and change orders. Proficiency with project and delivery management tools such as Azure DevOps (ADO), Jira, Microsoft Project, Smartsheet, or similar platforms. PMP certification is highly desirable; PMI-ACP, Certified ScrumMaster (CSM), SAFe, or similar certifications are a plus. The Perks We offer competitive pay with a performance-based bonus. Our employees also enjoy unlimited paid time off and a flexible and affordable benefits program designed to help you be and stay well, including: medical, dental & vision coverage, flexible spending accounts, health reimbursement account, and a 401(k) plan with a company match. Additionally, you’ll have the benefit of working alongside enthusiastic and energetic teammates in a dynamic and thriving environment. HSO is an Equal Opportunity Employer.
Cloud & Infrastructure
Deployment Strategist About HSO HSO is a global Business Transformation Partner with deep industry expertise and a long standing strategic relationship with Microsoft. We help organisations unlock the full potential of Microsoft Dynamics 365, Azure, Data and AI technologies to modernise operations, accelerate innovation and deliver meaningful business outcomes. In 2026, HSO achieved Microsoft Frontier Partner status, recognising our advanced capabilities across Microsoft Cloud and AI and our ability to help customers move beyond AI experimentation into secure, governed, enterprise scale production. With operations across Europe, North America and Asia, we combine industry knowledge, technical excellence and a practical, people first approach to transformation. As we continue to expand our AI capabilities, we’re building a new generation of customer facing talent to help organisations identify where AI can create genuine business value and turn that potential into measurable outcomes. About the Role AI is creating significant opportunities for organisations, but identifying where it can genuinely transform a business is often harder than building the technology itself. That is where the Deployment Strategist comes in. Deployment Strategists combine elements of management consulting, product management, business analysis and technology strategy. Their primary responsibility is to understand a customer’s business deeply enough to identify where the greatest value can be created, where the most important problems exist, and where AI and agentic technologies can realistically help solve them. You’ll work closely with senior customer stakeholders to understand strategic priorities, operating models, processes and performance challenges before translating them into focused opportunities that can be delivered and measured. You will also need a strong understanding of the Microsoft technology platform and its evolving AI stack. This is not a hands on engineering role, but you should understand how capabilities across Microsoft Azure, Data, AI, Microsoft Fabric, Copilot, Copilot Studio, Power Platform and Dynamics 365 can be applied to business problems and how those technologies fit together. This technical understanding will allow you to identify realistic opportunities, challenge assumptions, work credibly with technical teams and help customers make informed choices about where Microsoft technologies can create the greatest value. Deployment Strategists work side by side with Forward Deployed Engineers. The Deployment Strategist owns the why and the what, identifying the opportunity, defining the desired outcome and establishing how success will be measured. The FDE owns the how, designing and building the production solution. Together, you will take opportunities from discovery through to production and demonstrate the value they create. A critical part of the role is proving impact. You’ll establish clear baselines and success measures at the outset, remain closely connected to customer stakeholders throughout delivery, and demonstrate how the solution is affecting KPIs, operational performance or other measurable business outcomes. The role does not end at first deployment. Deployment Strategists drive an ongoing cycle of identify, build, prove and expand, using each successful outcome to uncover the next opportunity and deepen the value HSO delivers to the customer. What You’ll Do Understand the Customer and Identify Value • Build a deep understanding of how a customer’s business operates, including its strategy, operating model, processes, systems, performance drivers and constraints. • Work with senior executives and business leaders to identify where the greatest opportunities for improvement or transformation exist. • Assess where AI, agents, automation, data and Microsoft platform capabilities can realistically create meaningful business value rather than applying technology for its own sake. • Understand the customer’s existing Microsoft technology landscape and identify where capabilities across Azure, Data, AI, Fabric, Dynamics 365, Power Platform and Copilot can support transformation. • Identify opportunities across the organisation and sequence them according to strategic importance, potential value, feasibility and risk. • Develop a clear view of where HSO can create sustained value for the customer over time. Define Outcomes and Prioritise Opportunities • Translate complex or ambiguous business problems into clear hypotheses, outcomes and measurable success criteria. • Shape opportunities into focused initiatives that can be delivered and proven quickly. • Define the smallest valuable solution that will demonstrate whether an opportunity is worth scaling. • Build robust business cases and value models that establish expected benefits, investment and measures of success. • Own the business scope before engineering begins, ensuring everyone understands what is being built, why it matters and how its impact will be measured. • Prioritise opportunities and product backlogs according to customer value rather than technical novelty. Build Trusted Executive Relationships • Develop trusted relationships with senior business, technology and operational stakeholders. • Facilitate strategic conversations with C suite executives and, where appropriate, board level stakeholders. • Present opportunities, recommendations and results clearly and credibly to senior audiences. • Challenge assumptions constructively and help customers make informed decisions where priorities or requirements are unclear. • Explain Microsoft platform and AI capabilities in clear business terms, helping senior stakeholders understand what is realistically possible without requiring them to navigate the technical detail. • Remain accountable for ensuring the engagement stays focused on the intended business outcomes. Partner with Forward Deployed Engineers • Work closely with FDEs and platform engineers to translate customer outcomes into practical solutions. • Provide the business context, priorities and decision making framework engineering teams need to deliver effectively. • Apply a strong understanding of the Microsoft platform to help shape credible solution options and ensure proposed approaches align with available capabilities. • Continuously prioritise scope and backlog according to customer value, learning and emerging evidence. • Stress test how people, processes and technology will work together once the solution is deployed. • Ensure adoption, operating model change, training and feedback loops are considered alongside the technical build. • Make effective use of existing HSO and Microsoft assets and accelerators wherever they can reduce time to value. Measure and Prove Value • Establish clear baselines, KPIs and value measures at the beginning of an engagement. • Track performance throughout delivery and after deployment to understand whether the intended outcomes are being achieved. • Translate technical delivery into a clear account of business impact for executive sponsors and operational stakeholders. • Communicate transparently where expected outcomes have not yet been achieved and help identify what needs to change. • Build a continuous, evidence based view of the value HSO is creating for the customer. • Use proven outcomes to identify and shape the next high value opportunity. Build Reusable HSO Capability • Turn lessons from customer engagements into reusable frameworks, methodologies, value models and delivery playbooks. • Share practical learnings across HSO regions, practices and industry teams. • Contribute to the development of HSO’s AI, Frontier and Forward Deployed capabilities. • Help develop future Deployment Strategists and strengthen the discipline as the practice grows. What We’re Looking For We’re looking for people who combine strong commercial and strategic judgement with a strong understanding of the Microsoft platform and modern AI technologies. You’ll ideally bring: • Significant experience in management consulting, product management, business analysis, technology strategy, solution architecture or senior client facing delivery. • A track record of leading complex discovery, transformation or value based engagements with large organisations. • Strong commercial judgement and the ability to identify where technology can materially improve business performance. • Experience translating strategic or ambiguous business challenges into clearly defined initiatives and measurable outcomes. • Strong product instincts, including defining MVPs, shaping requirements and prioritising according to business value. • Experience developing business cases, ROI models, benefits cases or other value frameworks. • Strong knowledge of the Microsoft technology platform, including Azure, Microsoft Fabric, Dynamics 365, Power Platform and the Microsoft AI ecosystem. • Strong understanding of Microsoft’s AI stack, including capabilities such as Azure AI, Copilot, Copilot Studio, agents, automation and workflow orchestration. • The ability to understand how Microsoft technologies fit together and where they can realistically be applied to customer business problems. • Enough technical understanding to work credibly with engineers, challenge assumptions and understand architectural or delivery trade offs. • Excellent written and verbal communication, with the ability to translate confidently between business and technical audiences. • Strong facilitation and stakeholder management skills, including experience working with senior executives. • Comfort operating in environments where requirements are incomplete, priorities move quickly and the answer is not obvious. • Intellectual curiosity and the willingness to challenge surface level assumptions to understand what is really driving a business problem. Deep hands on engineering expertise is not required. You will not be expected to build or configure solutions yourself. More important is a strong understanding of the Microsoft platform and AI stack, what the technology can realistically achieve, and the ability to work effectively with engineers to turn that potential into measurable business value. Nice to Have • Previous experience in a Deployment Strategist, product strategy, technology strategy or similar role within an AI, technology or enterprise software business. • Background in management consulting, particularly operating model design, digital transformation or technology enabled change. • Experience working within the Microsoft ecosystem or with Microsoft Azure, Data, AI, Dynamics 365 or Power Platform solutions. • Deep industry experience in Manufacturing, Retail, Financial Services, Public Sector or Professional Services. • Experience working as a Product Owner or alongside engineering teams in an agile environment. • Experience delivering AI, automation or data led transformation programmes. • An established network of senior relationships within one or more of HSO’s target industries. • Experience turning successful customer engagements into repeatable propositions, methodologies or commercial opportunities. Why Join HSO? Many organisations understand that AI could transform their business. Far fewer know where to start, which opportunities genuinely matter or how to prove that an AI investment has created value. As a Deployment Strategist at HSO, you’ll help answer those questions. You’ll sit at the centre of strategic customer engagements, understanding how businesses operate, identifying where AI can make the greatest difference, applying your understanding of the Microsoft platform to shape viable opportunities, partnering with Forward Deployed Engineers to turn those opportunities into production solutions and demonstrating the results back to the customer. You’ll have the opportunity to: • Work directly with senior leaders on some of their most important business challenges. • Shape AI initiatives from the original business problem rather than inheriting predefined technical requirements. • Apply Microsoft’s evolving AI, Data and Cloud capabilities to real business transformation challenges. • See ideas move rapidly from strategy into working production solutions. • Work at the forefront of Microsoft’s evolving AI ecosystem as part of a Microsoft Frontier Partner. • Build propositions around measurable business outcomes rather than technology adoption alone. • Help shape a new consulting and delivery discipline within HSO as it develops globally. • Turn successful engagements into repeatable approaches that can create value across multiple customers. You’ll join a senior, practical and customer focused team that values curiosity, commercial judgement, ownership, speed and measurable impact. Compensation and Benefits We offer a competitive base salary alongside HSO’s standard employee benefits. The role will also include a performance related element designed to recognise both individual contribution and the value created through successful customer engagements. Further details on the compensation structure and performance measures will be discussed during the recruitment process.
Cloud & Infrastructure
Forward Deployed Engineer About HSO HSO is a global Business Transformation Partner with deep industry expertise and a long standing strategic relationship with Microsoft. We help organisations unlock the full potential of Microsoft Dynamics 365, Azure, Data and AI technologies to modernise operations, accelerate innovation and deliver meaningful business outcomes. In 2026, HSO achieved Microsoft Frontier Partner status, recognising our advanced capabilities across Microsoft Cloud and AI and our ability to help customers move beyond AI experimentation into secure, governed, enterprise scale production. With operations across Europe, North America and Asia, we combine industry knowledge, technical excellence and a practical, people first approach to transformation. As we continue to expand our AI capabilities, we’re building a new generation of customer facing engineering talent to help organisations turn the potential of AI and agentic technologies into real, measurable value. About the Role HSO is building a new generation of customer facing engineers who will help our customers create the operating model of the future using the latest AI, data and cloud capabilities. Forward Deployed Engineers combine consulting judgement, production software engineering, data platform expertise, AI delivery capability and business transformation skills. You will embed with strategic customers, understand their most important business challenges and rapidly turn those challenges into working, production ready AI applications, agentic workflows, automation solutions and data driven platforms. This is a hands on, outcome led role embedded within customer environments. You’ll move quickly from discovery to working software and take accountability for delivering measurable business outcomes. You’ll work across business processes, data platforms, integrations, AI, cloud and security, designing solutions that make effective use of Microsoft technologies while integrating with the customer’s wider technology estate. A strong understanding of modern enterprise data platforms is fundamental to the role. You will need to understand how data is structured, governed, integrated, transformed and made available to AI and application workloads, and how data platform decisions affect the quality, scalability and reliability of the solutions you build. Forward Deployed Engineers work closely with Deployment Strategists. The Deployment Strategist focuses on identifying where AI can create the greatest customer value and defining the desired outcome. The FDE takes ownership of how that outcome is delivered technically. From discovery through to go live, both roles work side by side. The FDE owns the technical solution and delivery, while the Deployment Strategist ensures the solution remains aligned to the business problem and measurable value. The role does not end at first deployment. You’ll stay close to solutions through hardening, adoption and handover before moving on to the next value opportunity. You’ll also turn what you learn into reusable HSO assets, reference architectures and delivery patterns that help future engagements move faster. What You’ll Do Own Customer Outcomes • Embed rapidly within customer teams and develop a strong understanding of their priorities, operating processes, systems, data and constraints. • Translate ambiguous business problems and defined customer outcomes into clear technical delivery plans. • Act as the technical lead throughout an engagement, guiding customer sponsors, business users, technical teams and HSO colleagues towards successful delivery. • Build trusted relationships with senior operational and technical stakeholders, including CTO and CIO level leaders. • Take ownership for delivering solutions that create measurable customer value rather than simply completing technical tasks. Lead Discovery and Solution Design • Lead technical discovery workshops to understand customer challenges and identify high value AI, data and automation opportunities. • Assess business processes, data readiness, data architecture, integration points, security requirements, technical risks and operational constraints. • Understand the customer’s existing data platform landscape and identify how data needs to be accessed, transformed, governed or modernised to support the required solution. • Apply a problem first approach to identify the smallest valuable solution that can be built and proven quickly. • Design end to end solution architectures that balance speed, scalability, maintainability, security and responsible AI. • Turn discovery into a pragmatic roadmap from prototype through to production. Build and Ship Production Solutions • Design, build, integrate, test and deploy enterprise grade solutions using modern cloud, data and AI technologies. • Develop AI powered applications, copilots, agents, automations, integrations and workflow solutions. • Build solutions that make effective use of modern enterprise data platforms and ensure AI applications are supported by reliable, governed and accessible data. • Integrate solutions with platforms such as Microsoft Fabric, Azure Data Services, Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow and customer owned systems, APIs and data platforms. • Apply modern engineering practices including source control, CI/CD, automated testing, infrastructure as code, observability and secure development. • Work iteratively. Deliver value quickly, learn from real world usage and progressively harden solutions for enterprise production. Engineer AI and Agentic Solutions • Design and implement robust agentic workflows, human in the loop processes and, where appropriate, multi agent architectures. • Apply modern techniques across retrieval, grounding, orchestration, tool integration, context engineering and evaluation. • Build evaluation frameworks and guardrails to test AI behaviour, reliability and quality before and after deployment. • Implement appropriate responsible AI, security, monitoring and governance controls. • Ensure data quality, lineage, governance and availability are considered as fundamental components of AI solution design. • Use operational data and user feedback to continuously improve solution quality and performance. Create Reusable HSO Capability • Reuse existing HSO assets, accelerators and delivery patterns wherever they improve speed and quality. • Turn lessons from customer engagements into reusable assets, reference architectures, engineering patterns and playbooks. • Contribute actively to HSO’s AI, Data, Frontier and Horizon engineering communities. • Share practical knowledge across regions, practices and delivery teams. • Support and mentor other engineers as the Forward Deployed Engineering capability grows. What We’re Looking For We’re looking for experienced engineers who combine strong technical depth with commercial awareness and the ability to operate confidently with customers. You’ll ideally bring: • Significant experience across software engineering, cloud engineering, data engineering, solution development, technical consulting or enterprise technology delivery, with senior level ownership of complex solutions. • Strong hands on experience building and operating production grade solutions on at least one major cloud platform. • Strong understanding and practical experience of modern enterprise data platforms, including data architecture, integration, transformation, governance and the role data plays in enabling AI and application workloads. • Experience with Microsoft data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Databricks, OneLake or comparable enterprise data platforms would be highly valuable. • Excellent coding capability in a modern language such as Python, C#, TypeScript, JavaScript or Java, with a track record of producing maintainable, production quality software. • Practical experience designing, building and deploying AI powered applications using platforms such as Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic or comparable technologies. • Hands on experience with large language models, prompting, retrieval augmented generation, evaluation and agent orchestration. • Strong understanding of APIs, integrations, data platforms and modern distributed application architectures. • Experience with modern engineering and DevOps practices including CI/CD, automated testing, source control and infrastructure as code. • Strong customer facing experience in consulting, transformation, delivery or technical leadership. • The ability to work effectively where requirements are incomplete, priorities evolve quickly and the right answer is not immediately obvious. • The judgement to balance engineering excellence with speed, practicality and customer value. You do not need to be an expert in every technology we use. More important is the ability to learn quickly, understand unfamiliar environments and apply strong engineering and data fundamentals to new problems. Nice to Have • Certifications across Microsoft Azure, Microsoft Fabric, AWS, Google Cloud or leading AI platforms. • Experience working with enterprise platforms such as Dynamics 365, Power Platform, Salesforce, SAP, ServiceNow or similar. • Experience implementing responsible AI, AI governance, evaluation frameworks or model monitoring in enterprise environments. • Experience designing or delivering modern data platforms that support analytics, operational applications or AI workloads. • Experience across industries such as Manufacturing, Retail, Financial Services, Public Sector or Professional Services. • A track record of turning successful customer solutions into reusable patterns or accelerators. • Experience leading small, highly capable engineering teams from discovery through to production. Why Join HSO? AI is changing how organisations operate, but most businesses do not need more demonstrations or isolated pilots. They need people who can identify where AI will genuinely create value, ensure the underlying data foundations are fit for purpose and then build something that works in production. That is what this role is designed to do. As a Forward Deployed Engineer at HSO, you’ll work directly with strategic customers at the point where emerging AI, data and cloud capabilities meet real business problems. You’ll have the opportunity to: • Build real AI products and solutions rather than proof of concepts that never reach production. • Work across AI, cloud and data platforms to solve complex customer problems end to end. • Work directly with senior customer stakeholders and see the impact of what you build. • Operate at the forefront of Microsoft’s evolving AI and Data ecosystem as part of a Microsoft Frontier Partner. • Work across technologies, industries and business problems rather than being confined to a single product or platform. • Help shape a new engineering capability within HSO rather than stepping into a narrowly defined existing model. • Turn successful customer work into reusable technology and approaches that can scale across HSO globally. You’ll join a senior, practical and customer focused team that values ownership, curiosity, engineering quality, speed and measurable impact. Compensation and Benefits We offer a competitive base salary alongside HSO’s standard employee benefits. The role will also include a performance related element designed to recognise both individual contribution and the value created through successful customer delivery. Further details on the compensation structure and performance measures will be discussed during the recruitment process.
Data & AI
Position: Data Engineer Department: Data & AI Visa Sponsorship: You must have legal working rights in the country of your residence within the European region. Sponsorship and relocation are only available within the Netherlands. What is your goal? As Data Engineer you will be working on building, maintaining, and optimizing modern data platforms using Microsoft technologies. Your primary focus is on data engineering, platform development, integration, scalability, security and data enablement. Leading Microsoft Partner HSO belongs to the elite Microsoft Dynamics Inner Circle for 21 years, within the top 1% of all Microsoft partners worldwide. With over 2,800 professionals, and a worldwide presence, we deliver successful implementations across industries globally. HSO International At HSO International, you’ll join a diverse team of 300+ colleagues from 50+ nationalities, working on cross-border projects that make a global impact. Learn more about Life at HSO International: https://www.hso.com/en/campaigns/life-at-hso-international/ Key Responsibilities Design, build, and maintain scalable and secure enterprise data platforms. Develop and optimize end-to-end data pipelines from multiple source systems to analytical and operational data stores. Implement solutions using Microsoft Fabric and Azure Databricks (nice to have). Integrate Dynamics 365 data and other enterprise systems into centralized data platforms. Ensure reliable data flows between source and target systems. Build data products and datasets that are ready for reporting, dashboards, advanced analytics, and AI use cases. Maintain high standards of data quality, integrity, governance, and performance. Apply modern data architecture principles, including Medallion and Lakehouse architectures. Work with notebooks and infrastructure-as-code approaches to automate and standardize deployments. Collaborate with Solution Architects, Consultants, and client stakeholders to deliver data platform solutions. Contribute to technical best practices and continuous improvement within the Data & AI practice. When are we a match? You have... A minimum of five years of experience working with the Microsoft Data Stack. A minimum of one year of hands-on experience working as a Data Engineer with Microsoft Fabric. Proven experience designing and implementing enterprise data platforms. Strong SQL expertise. Strong Python development skills. Experience working with Azure-based data services and modern cloud data architectures. Hands-on experience with notebooks and infrastructure-as-code solutions. Experience implementing Medallion and Lakehouse architectures. Experience building and supporting production-grade data pipelines. You are... Ambitious and eager to learn. Fluent in spoken and written English. Additional languages are a strong advantage. Comfortable working with international colleagues and clients across different cultures and time zones. Structured, quality-minded, and a strong communicator. Why should you choose HSO International? Development and growth You get a job with plenty of career opportunities with a leading provider of innovative enterprise business solutions and distinct Microsoft Global Solution Integrator, who perceives your motivations, talents and ambitions. Fun and success You work in a collaborative and professional environment where success is built on teamwork and with colleagues who are ready to help each other. International project exposure Joining our team offers an exciting opportunity to engage in international projects, providing invaluable exposure to diverse cultures, markets, and perspectives. Through your involvement in these projects, you will broaden your global network, enhance your cross-cultural communication skills, and gain firsthand experience in navigating the complexities of international collaboration. Freedom and responsibility You have the freedom and flexibility to organize your workdays, but especially to shape your own career. Take the next step! Does the combination of business processes and Microsoft technology appeal to you? Take the next step in your career path with HSO International!
Data & AI
At HSO, we're looking for a proactive and skilled Data Engineer to join our growing team. In this role, you'll design, build, and optimize modern data platforms that enable organizations to unlock the full value of their data. Working with Microsoft Fabric, Azure technologies, and modern engineering practices, you'll help deliver scalable, secure, and high-performing data solutions for our clients. About HSO At HSO, we're more than a global IT consultancy, we're a catalyst for innovation and growth. With over 2,800 professionals across 30+ countries, we help organizations transform their businesses through the power of Microsoft technologies. As a Microsoft Gold Certified Partner since 2002 and a proud member of the Microsoft Dynamics Inner Circle (top 1% of partners globally), we bring deep expertise in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions. Key Responsibilities Design, develop, and maintain scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies. Build, maintain, and optimize data pipelines using Python, PySpark, SQL, Microsoft Fabric, and Azure Data Factory. Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions. Work with structured and unstructured data from multiple sources. Implement and maintain data models that support reporting, analytics, and AI workloads. Ensure data quality, governance, security, and compliance across data platforms. Monitor, troubleshoot, and optimize data pipelines, workflows, and platform performance. Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions. Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality. Contribute to the continuous improvement of engineering standards, best practices, and technical documentation. Support CI/CD processes and automated deployment of data solutions. Requirements Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3+ years of experience in data engineering. Hands-on experience with Microsoft Fabric (required). Strong programming skills in Python and PySpark. Strong knowledge of SQL and data modelling principles. Experience designing and building modern data pipelines and ETL/ELT processes. Experience with Azure Data Factory (ADF) and data integration solutions. Experience with Azure data technologies and cloud-based data platforms. Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts. Experience with Git, CI/CD pipelines, and DevOps practices. Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions. Strong analytical and problem-solving skills. Excellent communication skills and the ability to work in a collaborative, international environment. What We Offer Competitive Compensation aligned with your experience and performance. Global Exposure: Collaborate with international teams on large-scale projects for leading corporations. Learning & Development: Access Tech Updates sessions, team events, the Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs to support your career and certification goals. Career Growth Opportunities: Develop your expertise within a global Microsoft partner and collaborate with experienced professionals across international teams. Cutting-Edge Technology: Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions. #LI-IH1
Cloud & Infrastructure
Cloud Solution Architect - Data & AI Location: UK (Hybrid)Practice: Data & AI About HSO HSO is a Business Transformation Partner with deep industry expertise and global reach. As one of Microsoft's leading partners, we help organisations unlock the full potential of Microsoft Dynamics 365, Azure, Data and AI technologies to deliver meaningful business outcomes. With operations across Europe, North America and Asia, HSO combines industry knowledge, technical excellence and a people-first culture to help customers modernise their businesses, transform operations and embrace innovation with confidence. As demand for Data & AI solutions continues to accelerate, we're expanding our Data & AI practice and looking for experienced Cloud Solution Architects to help shape the next generation of customer transformation programmes. The Role As a Cloud Solution Architect - Data & AI, you'll play a pivotal role in shaping and qualifying customer opportunities across the Microsoft cloud ecosystem. This is a highly visible role that sits at the intersection of sales, enterprise architecture and delivery, combining technical leadership with commercial thinking. You'll work closely with customers, Microsoft and internal stakeholders to understand business challenges, identify opportunities, design compelling solutions and create clear pathways from initial discovery through to successful delivery. You'll help organisations transform the way they use data, analytics and artificial intelligence, translating business ambition into practical, costed and deliverable solutions. Success in this role requires more than technical expertise. You'll need strong consulting and stakeholder management skills, the confidence to challenge assumptions, and the commercial awareness to ensure opportunities are both valuable for clients and aligned with HSO's delivery capability. What You'll Be Doing Opportunity Qualification & Solution Shaping Lead Data & AI opportunity qualification alongside Account Managers, Business Development teams and Enterprise Architects. Facilitate customer discovery workshops, architecture assessments and strategic discussions. Understand customer business drivers, challenges and desired outcomes. Help customers define realistic transformation roadmaps aligned to business priorities. Qualify opportunities using structured sales and consulting methodologies, including MEDDIC/MEDDICC approaches. Solution Architecture & Advisory Design end-to-end Data & AI solutions using Microsoft technologies and best practices. Shape modern analytics, AI and data platform architectures that are commercially viable and technically deliverable. Provide architectural leadership across data platform modernisation, analytics, AI and automation initiatives. Ensure alignment with Microsoft Cloud Adoption Framework and Azure Well-Architected principles. Communicate architectural trade-offs and recommendations to both technical and non-technical audiences. Commercial Leadership Translate customer requirements into proposals, statements of work, delivery plans and business cases. Produce solution estimates, cost models and phased implementation approaches. Support customers in understanding ROI, value realisation and investment considerations. Challenge unclear scope and identify delivery, cost and commercial risks early in the sales cycle. Work closely with delivery teams to validate assumptions before commitments are made. Growth & Go-to-Market Contribute to the evolution of HSO's Data & AI propositions and repeatable offerings. Develop demonstrations, accelerators, sales collateral and industry-specific solution narratives. Support RFPs, bid responses, executive presentations and proof-of-concept engagements. Collaborate with Microsoft stakeholders to drive pipeline growth and co-sell opportunities. Keep up to date with emerging Microsoft technologies and industry trends across Data & AI. What We're Looking For The ideal candidate combines strong technical capability with exceptional commercial awareness. You'll be equally comfortable discussing board-level business outcomes with executive stakeholders as you are diving into architecture decisions with technical teams. Commercial & Consulting Experience You'll have: Proven experience in a Solution Architecture, Pre-Sales, Consulting or Technical Advisory role. Experience working within a Microsoft partner, consultancy or enterprise technology environment. Strong commercial acumen and experience creating proposals, business cases and Statements of Work. The ability to qualify opportunities and challenge assumptions constructively. Excellent workshop facilitation, discovery and stakeholder management skills. Experience presenting to senior business and technical audiences. The ability to translate complex technical concepts into clear business value. Understanding of opportunity qualification methodologies such as MEDDIC or MEDDICC. Experience across industries such as manufacturing, retail, financial services, healthcare, public sector, not-for-profit, utilities or professional services would be advantageous. Technical Experience We recognise that few candidates will have expertise across every area listed below. We're primarily looking for strong Data & AI architecture experience across the Microsoft ecosystem. Essential Data & Analytics Microsoft Fabric Lakehouse architecture patterns Power BI and self-service analytics Semantic modelling and reporting solutions Data platform modernisation and analytics strategy Azure Data Platform Azure Data Lake Storage (ADLS) Azure Synapse Analytics Azure Databricks Azure SQL Database Azure Cosmos DB Azure Data Factory AI & Automation Azure AI Services Azure OpenAI Service Azure AI Foundry Copilot Studio Agentic AI patterns and intelligent automation solutions Document intelligence and AI-driven business use cases Data Engineering & Platform Delivery SQL Python and/or PySpark Data pipelines and transformation frameworks CI/CD concepts and deployment automation Azure DevOps and/or GitHub Infrastructure as Code awareness Environment promotion and release management approaches Advantageous Data Governance & Security Microsoft Purview Data governance frameworks Data lineage and catalogue solutions Information protection concepts Role-based access control Azure Key Vault Secure platform design principles Integration & Application Connectivity Azure Logic Apps Azure Functions Azure Service Bus Azure API Management Enterprise integration patterns Operational and analytical workload integration Certifications Microsoft certifications are not essential but are highly desirable, particularly across: Microsoft Azure Microsoft Fabric Data & Analytics Artificial Intelligence Security As a leading Microsoft partner, HSO actively invests in certification, specialisation and continuous learning, helping our consultants stay at the forefront of Microsoft's rapidly evolving technology landscape. Why Join HSO? This is an exciting opportunity to join one of Microsoft's most respected global partners during a period of significant growth in Data & AI. You'll have the opportunity to: Shape the future of HSO's Data & AI propositions and offerings. Work alongside Microsoft on strategic customer initiatives. Influence major digital, data and AI transformation programmes. Help organisations realise measurable value from data and artificial intelligence. Work with some of the most innovative technologies in the Microsoft ecosystem. Collaborate with highly skilled consultants, architects and delivery professionals across the globe. Benefit from continuous professional development, certification support and access to Microsoft's latest technologies. Most importantly, you'll have the freedom to combine commercial thinking, architectural leadership and innovation to create meaningful outcomes for customers and make a real impact on the future of Data & AI transformation. Ready to help shape the future of Data & AI? We'd love to hear from you.
Data & AI
Position: Data Migration Lead – HSO International Department: Data & AI Visa Sponsorship: You must have legal working rights in the country of your residence within the European region. Sponsorship is only available within the Netherlands. What is your goal? The Data Migration Lead plays a key role in ensuring HSO’s clients move to adopt a data-first strategy. To start their Dynamics 365 journey, next focus on their data-driven ambitions with clean, governed, and reliable data. Leading Microsoft Partner HSO belongs to the elite Microsoft Dynamics Inner Circle, within the top 1% of all Microsoft partners worldwide. HSO is a leading Microsoft partner within the top 1% of all Microsoft partners worldwide, delivering business transformation across ERP, CRM, Data & AI. With over 2,500 professionals and a worldwide presence, we deliver successful implementations across industries globally. HSO International At HSO International, you’ll join a diverse team of 300+ colleagues from 50+ nationalities, working on cross-border projects that make a global impact. Learn more about Life at HSO International: https://www.hso.com/en/campaigns/life-at-hso-international/ Key Responsibilities Own the full data migration lifecycle for Dynamics 365 F&O (and CE where relevant), covering planning, execution, cutover, and postmigration verification and hypercare to ensure accuracy and business continuity.‑migration verification and Lead data discovery, profiling, mapping, cleansing, transformation, and validation activities with functional and technical teams. Coordinate effectively with all stakeholders (client teams, HSO delivery teams, ISVs), providing clear communication around progress, risks, and decisions. Define migration scope, approach, timelines, resourcing, and risk controls in alignment with project governance and commercial sensitivities. Establish and enforce Data Governance standards (lineage, controls, security, retention) for migration assets, and guide Master Data Management (MDM) setup and data quality initiatives. Lead data engineering teams to design and implement robust ETL processes and quality checks; manage cutovers and reconciliation. Author migration scripts and queries in T-SQL. Use Python to automate repeatable tasks and validations when appropriate. Leverage Microsoft Fabric and modern data platforms. Enable legacy and migrate data for analytical purposes like AI and BI. Pre-sales and envisioning type of activities. Requirements You have… Deep hands‑on experience with Dynamics 365 Finance & Operations (F&O) data migration. Expertise in T-SQL (authoring complex queries, stored procedures, performance tuning, and reconciliation). A proven understanding of data migration principles (profiling, mapping, cleansing, validation, and cutover). Experience managing data teams across multiple streams (Migration, Analytics, Integration). The ability to handle commercially sensitive information and decisions is important. A bachelor's or master's degree in computer science, Information Systems, Data Analytics, or related field. Nice‑to‑have Exposure Dynamics 365 Customer Engagement (CE). Knowledge of Master Data Management (MDM). Familiarity with Data Governance frameworks and practices. Experience with Microsoft Fabric or modern Azure‑based data platforms. Python scripting experience for automation and data processing. You are… A strong communicator who can manage stakeholders across technical and business audiences. A credible senior consultant with the presence of coaches, challenges, and align cross‑functional teams. Analytical and detail‑oriented, with strong problem‑solving skills and a focus on quality. Structured in delivery, able to plan, execute, and govern with clear milestones and acceptance criteria. Customer‑centric, focused on value creation, risk reduction, and business continuity. Fluent in English (spoken and written); additional languages such as French, German, Spanish, or Italian are a plus. Benefits Why should you choose HSO International? Development and growth You get a job with plenty of career opportunities with a leading provider of innovative enterprise business solutions and distinct Microsoft Global Solution Integrator, who perceives your motivations, talents and ambitions. Fun and success You work in a collaborative and professional environment where success is built on teamwork and with colleagues who are ready to help each other. International project exposure Joining our team offers an exciting opportunity to engage in international projects, providing invaluable exposure to diverse cultures, markets, and perspectives. Through your involvement in these projects, you will broaden your global network, enhance your cross-cultural communication skills, and gain firsthand experience in navigating the complexities of international collaboration. Freedom and responsibility You have the freedom and flexibility to organize your workdays, but especially to shape your own career. Take the next step! Does the combination of business processes and Microsoft technology appeal to you? Take the next step in your career path with HSO International!
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