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Data Analytics & AI AV
Spain
¿Quieres recibir formación en últimas tecnologías Microsoft? ¿Quieres aprender y trabajar en un ambiente dinámico en una empresa Top Employer?
¡Únete a nuestro Avanade Campus, el programa de prácticas que comienza en Octubre 2026 en una de las áreas más demandadas en el mercado, Inteligencia Artificial con tecnologías Microsoft.
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Apoya a los equipos de proyecto en el desarrollo de soluciones para los clientes de Avanade mediante el análisis exploratorio de datos. Aplica tu conocimiento en estadísticas, aprendizaje automático, programación, modelado de datos, simulación y matemáticas avanzadas para reconocer patrones, identificar oportunidades, plantear preguntas de negocio y hacer descubrimientos valiosos que conduzcan a mejores decisiones empresariales. Realiza pruebas de análisis de datos según las estrategias acordadas. Comunica los resultados del análisis y las recomendaciones a los miembros del equipo y a los clientes. Proporciona orientación sobre técnicas de visualización de datos y cómo se pueden visualizar los resultados del modelo. Together we do what matters.
Key Responsibilities:
Apoyar a los equipos de proyecto en la generación y prueba de hipótesis.
Realizar análisis exploratorio de datos.
Preparar datos para modelado estadístico/aprendizaje automático/aprendizaje profundo.
Construir modelos de aprendizaje automático o aprendizaje profundo.
Interpretar los modelos construidos.
Comunicar resultados del análisis y recomendaciones a los equipos y clientes.
Proporcionar orientación sobre técnicas de visualización de datos.
Business and Tech Integration AV
Australia
Summary
Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client’s businesses.
We are seeking an ERP Support Finance and Technical Engineer who can provide functional and technical support across Microsoft Dynamics 365 Finance and Operations environments, with a focus on Finance and related modules. You will work with business and technology stakeholders to resolve Finance-related queries, support configuration requests, investigate platform issues, and deliver low-to-medium complexity technical enhancements across active client environments.
You must be an Australian citizen to apply; existing clearance will be viewed favourably.
Core to the Role
Provide day-to-day functional support for Dynamics 365 Finance and Operations Finance modules, including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Cash and Bank Management, Project Accounting, and Budgeting.
Analyse client issues and requests, then translate them into functional specifications, configuration changes, development requirements, or support actions.
Prepare and maintain functional design documentation, test scripts, support runbooks, service updates, and stakeholder engagement materials.
Support data migration activities, period-end close processes, reconciliation tasks, configuration changes, patches, and release-cycle testing.
Develop and maintain low-to-medium complexity customisations and extensions within Dynamics 365 Finance and Operations.
Build simple guides, support notes, test plans, release updates, and knowledge articles for clients, end users, and support teams.
Support service governance adoption, including ticket prioritisation, SLA commitments, documentation standards, knowledge management, access controls, and shared services processes.
Use Azure DevOps, APIs, data connectors, workflows, custom data entities, and Azure Integration Services where appropriate to support delivery and issue resolution.
Track incidents, ticket trends, platform issues, service outcomes, and client feedback, then recommend continuous improvements.
About You
You are an experienced Dynamics 365 Finance and Operations support professional with the ability to translate Finance business requirements and technical issues into reliable support outcomes. You have a strong understanding of core Finance processes, D365 F&O configuration, X++ development, custom data entities, workflows, integrations, testing, release support, and support requirements across live client environments. You are comfortable engaging with clients, functional teams, technical teams, service teams, and end users to deliver support services that are robust, practical, and aligned to business outcomes.
Professional Skillset
Strong working knowledge of Dynamics 365 Finance and Operations, Finance modules, configuration, X++ development, custom data entities, workflows, Azure DevOps, and support processes.
Experience supporting live ERP environments, Finance operations, client issue resolution, functional testing, release support, service delivery, and business process improvements.
Ability to investigate Finance-related issues, configuration defects, development requirements, integration problems, performance concerns, and data-related support issues.
Ability to create functional specifications, design documentation, test scripts, support runbooks, technical notes, release notes, and support artefacts.
Confident facilitator with experience running workshops, triage sessions, support status meetings, functional walkthroughs, and stakeholder briefings.
Understanding of D365 F&O support governance, service management, SLA commitments, ticket prioritisation, knowledge management, documentation standards, and release-cycle basics.
Secondary working knowledge of Azure Integration Services, Logic Apps, Azure Service Bus, APIs, data connectors, custom workflows, and Microsoft cloud integration patterns.
Strong communication, problem-solving, troubleshooting, documentation, and stakeholder management skills.
Data Analytics & AI AV
Malaysia
Summary
We are looking for an experienced Machine Learning Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters
Key responsibilities
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Prepare advanced data analyses and support in the presentation of results to business stakeholders
- Work with team members and leads to define Data Science use cases using current and emerging technologies
- Transforming data science prototypes and applying appropriate ML algorithms and tools
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.
Data Analytics & AI AV
Australia
Summary
Avanade is growing, and we seek motivated and engaged technology professionals to join our Managed Services team delivering continuous value to our client’s businesses.
We are seeking a Microsoft Fabric Data Support Engineer who can support, maintain, and improve data and analytics solutions using the Microsoft Fabric platform. You will work with business and technology stakeholders to keep data pipelines, lakehouses, warehouses, semantic models, notebooks, reports, AI/ML workloads, and operational insights reliable, secure, and fit for purpose, with Microsoft Foundry capability used to extend AI, machine learning, and intelligent data outcomes where needed.
You must be an Australian citizen to apply; existing clearance will be viewed favourably.
Core to the Role
Support, monitor, test, and improve Microsoft Fabric data solutions, including pipelines, lakehouses, warehouses, semantic models, notebooks, and reporting assets across business teams and user groups.
Assess business data support needs, source systems, data quality, technical constraints, incidents, and readiness for new data and analytics solutions.
Create practical support models, data solution designs, runbooks, remediation plans, and stakeholder engagement materials.
Support Fabric items, data engineering workloads, Data Factory pipelines, lakehouse and warehouse assets, notebooks, semantic models, and workspace content.
Integrate Microsoft Fabric with Microsoft 365, SharePoint, Dataverse, SQL, Excel, Azure data services, Power BI, and AI/ML solutions using Microsoft Foundry where appropriate.
Build simple guides, support notes, refresh runbooks, release updates, and knowledge articles for data users and support teams.
Support governance adoption, including workspaces, security, data access, data refresh, deployment pipelines, capacity usage, access controls, and standards.
Use Microsoft Foundry, Fabric Data Science, notebooks, and related AI/ML services where appropriate to improve forecasting, classification, automation, workflow, and data-driven actions.
Track platform usage, performance, adoption, capacity, incidents, and data issues, then recommend continuous improvements.
About You
You are an experienced data support professional with the ability to translate business requirements and complex data environments into reliable, maintainable data and analytics services. You have a strong understanding of Microsoft Fabric, data engineering, lakehouse and warehouse patterns, semantic models, data pipelines, workspace governance, security, refresh management, capacity awareness, and support requirements across Microsoft 365, Azure-connected services, Power BI, and AI/ML workloads. You are comfortable engaging with stakeholders, data owners, service teams, analysts, makers, and end users to support data solutions that are robust, maintainable, and aligned to business outcomes.
Professional Skillset
Strong working knowledge of Microsoft Fabric, Fabric workspaces, Data Factory, lakehouses, warehouses, notebooks, semantic models, pipelines, deployment pipelines, and Power BI integration.
Experience supporting data platforms, operational analytics, executive reporting, self-service analytics, AI/ML enablement, and data-led business improvements.
Ability to troubleshoot data pipelines, refresh failures, access issues, performance concerns, data quality defects, and integration problems across Fabric and related services.
Ability to create support runbooks, data dictionaries, technical notes, user guides, release notes, incident updates, and support artefacts.
Confident facilitator with experience running support reviews, incident triage sessions, data solution walkthroughs, backlog reviews, and stakeholder briefings.
Understanding of Microsoft Fabric governance, security, workspace management, data sensitivity, sharing models, capacity usage, access controls, and data lifecycle basics.
Secondary working knowledge of Microsoft Foundry, Fabric Data Science, AI/ML workloads, Power Apps, Power Automate, Dataverse, connectors, and Microsoft 365 integration patterns.
Strong communication, problem-solving, troubleshooting, and stakeholder management skills.