Summary

Our Artificial Intelligence team is made up of academically accomplished experts—and there’s room for more analytical and innovative data talents to join us.

We are seeking for an AI Intern to join Avanade’s AI Engineering Team. You’ll join a community of smart, supportive collaborators to lift, mentor and guide you. As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning and ambitious growth in return. Together we do what matters.

This opportunity is ideal for fresh graduates in 2026 or students in their final semester, graduating in 2026. You will be required to commit for 6 months.

Key Responsibilities

• Build agent prototypes and proofs of concept for client use cases using modern agentic frameworks

• Contribute to live delivery projects alongside senior AI engineers, covering design, development, testing, and technical documentation

• Participate in client workshops, discovery sessions, and solution demos, preparing materials and presenting prototypes to technical and business stakeholders

• Collaborate with interdisciplinary teams to translate client requirements into working agentic solutions and share learnings back to the organization

Introduction:

L’équipe ERP c’est avant tout une équipe de passionnés composée d’une part de profils fonctionnels Finance, Trade & logistics, Manufacturing ou encore Project accounting et d’autre part de profils techniques.

Experts des technologies Microsoft et particulièrement de Microsoft Dynamics 365 F&O, les valeurs de l'équipe sont l’entraide, la bienveillance et la curiosité, l'envie d'apprendre et de grandir.

Principales responsabilités:

· Monter en compétences sur l’ERP Dynamics 365 F&O

· Aider au quotidien le Consultant fonctionnel qui vous encadre sur les activités suivantes : Paramétrage de l’ERP, effectuer des tests, participer aux réunions et prendre des notes pour faciliter la rédaction des comptes rendus, à l’aise avec Excel aider dans les tâches de transformation des données.

Summary

Intégrez une équipe où la gestion de projet est au cœur de notre réussite. Vous participerez activement à la mise en œuvre de processus efficaces, contribuant ainsi à l'excellence opérationnelle de nos projets. Votre travail sera essentiel pour assurer le bon déroulement et la réussite des projets en cours.

Rejoignez notre équipe en tant que stagiaire PMO et plongez dans l'univers de la gestion de projet. Vous serez impliqué(e) dans divers aspects essentiels de la coordination et du suivi des projets, offrant un soutien crucial à nos chefs de projet. Ce rôle est une opportunité parfaite pour ceux qui souhaitent développer leurs compétences en gestion de projet dans un environnement dynamique et collaboratif.

Key responsabilities

• Assister le chef de projet dans la coordination et le suivi des tâches quotidiennes, assurant une exécution fluide des projets.

• Participer à la collecte, l'analyse et la documentation des données liées aux projets, fournissant des insights précieux pour l'équipe.

• Aider à la création et à la mise à jour des tableaux de bord et des rapports de suivi, facilitant la visualisation de l'avancement des projets.

•  Contribuer à l'amélioration des processus de gestion de projet et à la documentation des bonnes pratiques, renforçant l'efficacité de notre approche.

• Collaborer avec les différentes équipes pour assurer une communication efficace et un alignement des objectifs, favorisant le travail d'équipe et la réussite collective.

Azure Data Support Engineer

Location:

Newcastle or London preferred

Job Type:

Full-time | Permanent (On-Call Requirement)

Security Clearance Requirement 

This role is suitable for candidates who already hold UK Government Security Clearance (SC), or who are eligible and willing to undergo the SC vetting process (eligibility criteria apply). 

We are looking for a versatile Azure Data & ML Support Engineer with strong expertise in Azure cloud services, DevOps, SQL, and data warehousing to support and optimize ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement.

The ideal candidate will also play a key role in supporting data warehouse systems by managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks.
 

Key Responsibilities:

Azure Platform Support & Monitoring

• Support and maintain Azure-based data solutions, including:
  • Azure Data Factory (ADF) pipelines, dataset, linked service, trigger
  • Azure Databricks (Spark jobs, notebooks, clusters)
  • Azure Machine Learning models and endpoints
  • Power BI dashboards and dataset refreshes
• Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting.
   

 DevOps & Automation

• Knowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments.
• Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.

SQL and Data Warehouse Operations

• Write, optimize, and troubleshoot SQL queries for:
  • Data validation
  • Root cause analysis
  • Report troubleshooting
• Support and maintain data warehouse environments, such as:
  • Azure Synapse Analytics
  • SQL Server / Azure SQL DB
  • Snowflake or BigQuery (optional, if used in hybrid environments)
• Monitor ETL performance and investigate slow-running queries and data load failures.

              Issue Investigation & RCA

• Investigate job failures and performance issues across data pipelines, ML endpoints, and dashboards.
• Perform root cause analysis (RCA) and provide short-term and long-term solutions.
• Develop and implement self-healing automation for recurring failures.

              Service Operations & Support (Managed Services)

• Provide L2/L3 support aligned with ITIL practices (incident, problem, change management).
• Participate in on-call rotations and handle critical incident response.
• Maintain detailed SOPs, runbooks, knowledge base articles, and client documentation.

Required Skills and Qualifications:

Azure Services

• Azure Data Factory (ADF): pipelines, triggers, parameterization, monitoring
• Azure Databricks: Spark, notebooks, job orchestration
• Azure Machine Learning: pipelines, model deployment, monitoring
• Power BI Service: dataset refreshes, access control, report diagnostics

DevOps & Automation

• CI/CD: Azure DevOps, GitHub Actions, YAML pipelines
• Scripting: Python, PowerShell
• Monitoring: Azure Monitor, Log Analytics, Alerts, Application Insights

 SQL & Data Warehousing

• SQL skills for debugging, data validation, and optimization
• Experience with Azure SQL DB, or SQL Server
• Familiarity with data modeling concepts and warehouse performance tuning

Support & Incident Management

• Strong troubleshooting and analytical skills for root cause analysis
• Exposure to ITSM tools (e.g., ServiceNow, Jira)
   

Preferred Qualifications:

• Microsoft Certifications (e.g., DP-900, AZ-900, DP-203)
• Familiarity with AKS, Docker, or containerized ML environments
• Understanding of data governance and security in cloud environments
• AI Foundry, Gen AI, Fabric experience

Soft Skills:

• Strong verbal and written communication
• Good documentation and presentation skills
• Ability to handle pressure and prioritize effectively in live support environments

Work Hours & Availability:

• Core business hours (08:30- 17:30) with rotational on-call support (1 in 4 weeks)
• Flexibility for off-hours/weekend support during critical deployments or outages

Why Join Us?

• Be part of a high-impact team managing enterprise-scale Azure solutions
• Work on the intersection of data, AI, DevOps, and automation
• Opportunities to grow across data engineering, MLOps, and cloud automation
• A dynamic, learning-focused work environment with cutting-edge tools and processes