Explore infinite possibilities at an AI-driven consulting firm

About the Role:

We are seeking a highly motivated and experienced Senior Data Scientist – ML Engineer to join our growing Data & AI team (50 FTE) in Belgium. In this role, you will play a key part in designing, developing, and deploying machine learning solutions for our clients across various industries. You will collaborate with other data scientists, engineers, and consultants to deliver innovative and impactful solutions that address our clients' business challenges.

Responsibilities:

• Design, develop, and deploy machine learning models and algorithms
• Analyze large and complex datasets to identify patterns and insights
• Build and maintain data pipelines for data ingestion, processing, and transformation
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Stay up to date with the latest advancements in machine learning and artificial intelligence
• Contribute to the development of Devoteam’s data science and machine learning capabilities

Job Summary:

We are seeking a highly skilled and experienced Azure Cloud Platform Architect to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and managing robust, scalable, and secure cloud solutions on the Microsoft Azure platform. You will play a pivotal role in our cloud strategy, working closely with development teams, operations, and business stakeholders to deliver innovative and efficient cloud infrastructure. ☁️

Key Responsibilities:

• Design and Architect Azure Solutions: Develop and implement comprehensive cloud solutions across IaaS, PaaS, and SaaS services, considering scalability, performance, security, and cost-effectiveness.
• Stakeholder Management: Collaborate effectively with technical and non-technical stakeholders to understand requirements and communicate architectural decisions.
• Cloud Strategy and Roadmap: Contribute to the development and execution of the overall cloud strategy and roadmap, aligning with business objectives.
• Technical Leadership: Provide expert guidance and technical leadership to development and operations teams on Azure best practices, architecture patterns, and emerging technologies.
• Infrastructure as Code (IaC): Design and implement IaC solutions using tools like ARM templates, Bicep or Terraform to automate and manage Azure resources.
• Security and Compliance: Ensure all Azure solutions adhere to security best practices and relevant compliance standards (e.g., GDPR, ISO 27001, NIS2, DORA). Implement robust security controls and monitoring. 🛡
• Support Sales: Technical support during RFI, RFP requests…
• Migration and Modernization: Lead and support the migration of on-premises workloads to Azure, as well as the modernization of existing cloud applications.
• Cost Optimization: Continuously monitor and optimize Azure resource utilization to ensure cost efficiency.
• Performance Monitoring and Optimization: Implement monitoring and alerting solutions to ensure high availability and performance of Azure services. Proactively identify and resolve performance bottlenecks.
• Disaster Recovery and Business Continuity: Design and implement disaster recovery and business continuity plans for Azure-based solutions.
• Documentation: Create and maintain detailed architecture diagrams, technical specifications, and operational documentation. 📄
• Stay Current: Keep abreast of the latest Azure services, features, and industry trends.

Job Summary:

We are seeking a Senior M365 Architect to join our Cloud, Data & AI practice. In this role, you will act as a trusted advisor and lead architect to enterprise clients across the full Microsoft 365 landscape, spanning Teams, SharePoint, identity, security, Power Platform, and Copilot, owning solution architecture, governance, and presales, while mentoring developers and solution builders and leading implementation yourself on complex engagements.

Key Responsibilities:

• Lead executive discovery sessions and workshops with business and IT stakeholders to translate requirements into a target M365 architecture.
• Design enterprise level solution architectures across Microsoft 365, including Teams, SharePoint, Power Platform, and Copilot Studio, aligned with client business goals.
• Define identity architecture using Microsoft Entra ID and apply Microsoft Purview data governance principles across M365 workloads.
• Define governance and Application Lifecycle Management (ALM) standards for Power Platform and broader M365 solutions, including environment strategy and Data Loss Prevention (DLP) policies.
• Design Copilot adoption architecture and governance frameworks, and support clients in scaling Copilot usage safely across M365.
• Advise clients on M365 tenant architecture, service adoption, and integration with Azure services.
• Mentor developers and solution builders, review architecture and design decisions, and contribute to reusable technical baselines.
• Support pre-sales activities, including technical scoping, solution estimation, and Statement of Work (SOW) creation.

As a Google Data Architect at Devoteam you will define the strategy, roadmaps and architectures of the most innovative companies in Europe. With our team we bring data alignment and structure in global enterprises, we enable scale-ups to leverage their data for their impressive growth, and open the eyes of traditional companies to what is now possible with data on Google Cloud.

We strongly believe that architecting is more than just drawing boxes and diagrams. Architecture is about solving problems and making sure the solutions can scale. Therefore we invest heavily in the training and coaching of our teams so that everyone is able to go into the code and that everyone understands the impact of architectural decisions.

Inspired by Google's ethos, our team deeply values learning, innovation & team achievements. To make sure our team can keep growing in this environment, we are also opening this Data Architect position to take a role as internal crew manager. A crew manager is someone who, next to working with clients, also gets a part time role in managing the internal team of consultants. A crew manager shapes the vision of the team, fosters innovation and advises people on what to learn next.

Unpaid Internship | Devoteam Creative Tech | Belgium

Project Description

The goal of this project is to create, in a fully automated way, a platform based on Red Hat OpenShift for containerized applications. You will be evolving as the platform owner for our development team. This platform should contain all services to ensure a high availability of our applications, a secure environment in an automation way. This deployment must be standardized and easily reproducible. Once the platform is deployed, other product to facilitate cluster management and security will be deployed such as RedHat Advanced Cluster Manager, RedHat Advanced Cluster Security, Red Hat Ansible Automation Platform

For a future enhancement, this platform should work in a synergy with others hosted in different cloud providers.

The project will be delivered in an agile way of working (SCRUM). We are looking for this project for DevOps and/or Cloud engineer profiles. A team of 2 or 3 interns will be created on a direct supervision of the practice manager.

Our Approach

Devoteam will support you in guiding towards the correct documentation and learning material. A mentor will follow you, provide advice and review the work done. We encourage you to work both independently and in a team.

Work will be done at the offices in Diegem (occasionally work from home). Being in the office allows you to connect with Devoteam people and to experience a real-life working environment of a consultancy company.

The internship will start in Q1 2027. The end date of the full project depends on the agreed working hours of the different people in the team, because some people will work full time, others will only be working a couple of days a week.

Team setup

The team working on this project will consist of Devoteam consultants and 2 interns:

Practice Manager:

• product owner

• conducting daily meetings to follow up the activities of the intern

• conduct weekly meetings with the full team to demonstrate the progress and to discuss next action items

• review the methodology documentation

• collect new ideas from the team and add this to the backlog of action items

Intern:

• Select the appropriate automation tool or scripting language to develop your automation scripts. Common choices include Python, PowerShell, Ansible or Terraform

• Authentication: Establish a secure authentication mechanisms

• Error Handling: Implement robust error handling in your scripts to gracefully handle exceptions and errors that may occur during automation. This ensures that your scripts are reliable and can recover from failures.

• Logging and Monitoring: Incorporate logging and monitoring tools to the platform

• Documentation: Document your automation scripts, including their purpose, usage, and any dependencies. This documentation will be valuable for both the script’s users and future maintainers.

• Version Control: Consider using version control systems like Git to manage your script’s source code. This helps track changes and facilitates collaboration among team members.

Your Mission: Driving Market Expansion

At Devoteam, we are looking for a high-energy Business Development Manager who thrives on opening new doors and conquering untapped markets. This is a purely growth-oriented commercial role where your primary objective is to identify, pursue, and close new business opportunities within the Belgian landscape.

You won't just be managing existing accounts; you will be the engine of our expansion, positioning our expertise in Software & Platform Engineering to organizations ready for large-scale digital transformation.

Your Pillars of Growth

You will proactively position Devoteam as the trusted partner for Red Hat–based cloud-native platforms and modern application delivery. This role is not about selling infrastructure components. It’s about enabling speed, reliability, and scalability through platform engineering and automation.

Accelerating Software Modernization & Engineering

You will proactively pitch our ability to transform legacy environments into high-performance digital products.

• The Pitch: Selling the value of Devoteam as a strategic partner to ideate, define, develop and deliver modern digital products at scale using cloud-native and ai-native software engineering practices. The target audience would BE CIOs, CTOs, Head of Products, or Head of Engineering.

• The Goal: Winning complex projects that redefine how our clients deliver software.

Mastering Platform & Hybrid Cloud

• The Pitch : You will promote standardized, developer-friendly platforms built on Red Hat OpenShift and Red Hat Ansible Automation Platform, enabling teams to deliver software faster, safer, and at scale across hybrid and multi-cloud environments.

• The Value Proposal : Demonstrate how Red Hat technologies bridge the gap between software development and operations, creating a common, automated platform that improves developer productivity, operational resilience, security by design and ultimately accelerating time-to-market and reducing operational complexity.

• The Goal: Securing strategic partnerships and large-scale infrastructure contracts that form the backbone of our clients’ modern IT environment.

Role Overview

We are looking for an impactful, proactive AWS AI Engineer to join our AI engineering team. In this role, you will take ownership of designing, building, testing, and deploying high-impact GenAI solutions and autonomous AI agents on AWS. Working alongside senior AI engineers and architects, you will solve complex technical and business challenges, communicate technical trade-offs to stakeholders, and drive end-to-end value delivery using the AWS stack.

Key Responsibilities

• AI & Agent Development: Own the design and development of production-grade Generative AI applications and AI agents using Amazon Bedrock, SageMaker, and orchestration frameworks such as LangChain, LangGraph, or CrewAI.

• Model & RAG Engineering: Help design and evaluate Retrieval-Augmented Generation (RAG) pipelines, prompt templates, and vector search integrations.

• Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring.

• Cloud Infrastructure: Write basic Infrastructure as Code (Terraform, AWS CDK) and assist with CI/CD pipelines for AI workloads.

• Responsible AI: Implement guardrails, data privacy, and security controls following AWS best practices and regulations (e.g., GDPR, EU AI Act).

• Collaboration & Communication: Collaborate cross-functionally with data engineers, platform teams, and clients. Communicate technical architectures, trade-offs, and solutions clearly to technical and non-technical stakeholders.

Job Summary:

We are seeking a Senior Microsoft Purview Consultant / Architect to join our Security & Compliance Advisory practice. In this role, you will act as a trusted advisor and lead architect to enterprise clients, bridging the gap between business risk, legal compliance (GDPR, NIS2, DORA), and enterprise level Purview architecture, leading and executing implementation yourself, with a delivery or implementation consultant available for large scale or complex builds. A major focus of this position includes helping clients establish robust AI Governance and Microsoft Copilot readiness frameworks by securing their underlying data estates and delivering Copilot adoption and governance training to client teams.

Key Responsibilities:

• Lead executive discovery sessions and workshops with C-suite stakeholders (CISO, DPO, General Counsel) to translate compliance requirements into actionable technical designs.
• Design enterprise level Purview architectures and target operating models covering Data Security (Information Protection, Sensitivity Labels, Auto-classification, DLP), Data Governance & Lifecycle (Records Management, Retention, Data Cataloguing, Unified Maps), and Risk & Compliance (Insider Risk Management, eDiscovery Premium, Communication Compliance, Compliance Manager).
• Assess client data risk profiles prior to AI rollout; design strict permission controls and data lifecycle rules to prevent accidental data oversharing via Microsoft 365 Copilot.
• Design and deliver Microsoft 365 Copilot enablement and governance training for client teams, translating Purview based data protection controls into practical Copilot usage guidance.
• Define integration architecture between Microsoft Purview, Microsoft Defender XDR, Defender for Cloud Apps, and Microsoft Entra ID, in close collaboration with the technical delivery team.
• Mentor junior consultants, contribute to reusable technical baselines, and assist in pre-sales activities including technical scoping and Statement of Work (SOW) creation.

Job Summary:

We are seeking an M365 Developer to join our Cloud, Data & AI practice. In this role, you will design, code, and deploy custom solutions across the full Microsoft 365 stack, from SharePoint Framework (SPFx) solutions and Azure Functions to Power Platform applications and Copilot Studio agents, connecting them together through the Microsoft Graph API and custom integrations.

Key Responsibilities:

• Design, build, and deploy custom SharePoint Framework (SPFx) solutions for SharePoint Online and Teams.
• Design, build, and deploy Azure Functions and other Azure services, and integrate them with M365 and Power Platform solutions.
• Develop Copilot Studio agents with custom actions, plugins, and integrations to backend systems.
• Design, build, and deploy custom Power Apps (canvas and model-driven) involving complex business logic.
• Develop custom connectors and API integrations between M365, Power Platform, Azure, and third-party systems, using the Microsoft Graph API.
• Configure Microsoft Entra ID app registrations and authentication for custom applications.
• Design and maintain Dataverse data models, including security roles and data modeling best practices.
• Participate in all phases of the application development lifecycle: design, development, testing, deployment, and post-implementation support.
• Develop and maintain technical documentation, including security and data handling considerations.

Your mission?

As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure.

Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best leverage GCP data services (like BigQuery, Dataflow, Cloud Composer, and Pub/Sub) to solve critical business challenges. You will constantly be supported by one of our PM’s in order to deliver best-in-class solutions and will be a key contributor within the Data Tribe, driving technical excellence and best practices.

!!! Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can train you !!!

We are seeking a Senior AWS AI Engineer to join our growing AI engineering team. You will be a key player in designing, building, and deploying production-grade AI agents and generative AI solutions on AWS. This role requires hands-on expertise across the AWS AI stack (Amazon Bedrock, Bedrock AgentCore, Amazon SageMaker, and Amazon Q) combined with the engineering rigor to take agentic systems from proof-of-concept to reliable, secure, and scalable production. You will be a trusted advisor to our customers, driving the adoption of agentic and generative AI and shaping the next generation of intelligent solutions Devoteam delivers.

Responsibilities:

• Customer obsession: Act as the go-to AI engineering expert for our key customers, translating business challenges into production-ready agentic AI solutions and supporting pre-sales, solutioning, and proof-of-value engagements.
• AI Agent Development: Design, build, and ship autonomous and multi-agent systems in production using Amazon Bedrock and Bedrock AgentCore, together with frameworks such as Strands Agents, LangGraph, or CrewAI — covering tool use, orchestration, memory, identity, and human-in-the-loop patterns.
• Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle – training, hosting, and monitoring – where appropriate.
• Architecture & Design: Design highly available, scalable, and secure AI architectures on AWS, applying the Well-Architected Framework and generative-AI best practices. Contribute to the overall AI strategy, reference architectures, and reusable accelerators.
• Production Engineering & LLMOps: Operationalize AI agents end-to-end — automated AI agent evaluation, guardrails, observability, cost and latency optimization, CI/CD, and Infrastructure as Code (Terraform, CloudFormation, AWS CDK). Own the reliability, quality, and performance of deployed agents.
• Responsible AI & Security: Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks (e.g., ISO 27001, GDPR, EU AI Act).
• Autonomy & Ownership: Work autonomously across the full delivery lifecycle — from discovery and design to deployment and handover — making sound technical decisions with limited supervision while keeping stakeholders aligned. Participate in support or on-call rotations where the customer assignment requires it.
• Collaboration & Communication: Collaborate with data, platform, and software engineering teams, and communicate clearly with both technical and non-technical stakeholders. Mentor junior engineers and share knowledge across the practice.

Continuous Improvement: Stay current with the fast-moving AWS AI landscape (Bedrock, AgentCore, SageMaker, Amazon Q, and emerging capabilities) and proactively bring new patterns, tooling, and ideas into our delivery

Job Summary:

We are seeking a highly skilled and experienced Microsoft Business Intelligence (BI) Expert with specialized knowledge in Microsoft Fabric. The ideal candidate will be responsible for designing, developing, and deploying robust BI solutions that leverage the end-to-end analytics capabilities of the Microsoft Fabric platform. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-making across the organization. 🚀

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering.
• Develop and optimize data warehousing solutions using Data Warehouse in Fabric.
• Create compelling and insightful reports, dashboards, and visualizations using Power BI, seamlessly integrated with Fabric datasets.
• Implement and manage robust data governance, security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview.
• Collaborate with business stakeholders to understand their requirements and translate them into technical BI solutions.
• Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights.
• Utilize Data Activator to monitor data and trigger actions based on defined patterns and conditions.
• Work with Lakehouse architecture to unify data storage and enable diverse analytical workloads.
• Ensure data quality, integrity, and consistency across all BI solutions.
• Provide technical expertise and guidance on Microsoft Fabric to other team members and stakeholders.
• Stay up-to-date with the latest advancements in Microsoft Fabric, related Azure data services, and emerging AI assistant technologies like co-pilot.
• Troubleshoot and resolve issues related to data, reports, and BI solutions within the Fabric ecosystem.

As a Digital Identity Consultant, you will play a crucial role in helping our clients design, implement, and manage robust and future-proof solutions for digital identity management. You are an expert in Identity and Access Management (IAM) and advise organizations on how they can securely and efficiently manage their digital identities, optimize the user experience, and comply with ever-changing laws and regulations.

In a world where digital transformation is central, you are the trusted advisor who helps organizations navigate the complexity of digital identity. You will work on challenging projects for various clients, ranging from developing strategic roadmaps to implementing advanced IAM technologies.

Role Overview

We are looking for a Digital Identity Security Architect who views identity through the lens of a Cybersecurity Architect. This is not a legal or compliance role; it is a high-level technical position with a strong focus on business interaction.

In this role, you will be the point of contact for clients during the pre-sales and discovery phases. You will bridge the gap between business risk and technical security by designing the “North Star” for our clients’ identity ecosystems, justifying technical investments, and ensuring that the proposed solution is both scalable and resilient against modern threats.

🎯 Key Responsibilities

• Pre-sales & Business Interaction: Act as the technical expert during the sales cycle. You will lead client workshops, define project scopes, and present technical solutions to stakeholders to secure "buy-in."
• Technical Roadmap Design: Architect long-term technical visions for AM, IGA, and PAM that prioritize threat reduction and align with the client’s business goals.
• Architecture Advisory: Lead the technical evaluation and selection of enterprise-grade platforms (e.g., Ping Identity, Azure AD, CyberArk), ensuring they integrate seamlessly into a wider security stack.
• Zero Trust Strategy: Define the technical standards for Conditional Access, Risk-Based Authentication, and Micro-segmentation at the identity layer.
• Protocol & Standard Selection: Determine the strategic adoption of technical standards such as OIDC, SAML, FIDO2, and OAuth2 to solve complex authentication challenges.
• Technical Risk Mitigation: Translate business requirements into technical security controls that protect against credential stuffing, account takeovers, and lateral movement.

At Devoteam, we help organisations unlock the full potential of the cloud. As a Microsoft Cloud Consultant, you guide customers through their cloud journey and help them build secure, scalable and futureproof platforms. You guide them through the complexities of Microsoft Azure and ensure their platform is engineered for long-term success. You’ll join a team that thrives on innovation, collaboration and continuous learning—because shaping the future of cloud means staying ahead of it.

💡 Your role

As a Cloud Consultant, you support customers in designing, managing and improving their cloud environments. You translate business needs into smart technical solutions and ensure the underlying platform is reliable, secure and ready for growth.

You will:

• Support customers with the management, integration and maintenance of their cloud platform, ensuring stability, security and operational excellence.
• Work on core infrastructure and technology services within the landing zone, helping customers build a strong and compliant cloud foundation.
• Collaborate closely with DevOps teams, who focus on development practices and platform usage, while you ensure the platform itself is robust and well-architected.
• Collaborate with the Data & AI teams to ensure transformation projects provide the necessary foundations for advanced AI Foundry and Fabric implementations.
• Conduct feasibility studies for new cloud services or platform improvements, always keeping an eye on innovation and long-term value.
• Think proactively about security, maintainability, flexibility and efficiency in every solution you design.