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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Data Engineer - **Company:** Accenture - **Location:** Brussel, Belgium - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Databases, DevOps, Python (Programming Language), Machine Learning, Google Cloud, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Build Management, Machine Learning Operations, Virtual Agents, Data Pipelines, Programming Languages - **Published:** June 17, 2026 - **Apply:** https://www.careerjet.be/jobad/be3389a961335925f896c3ca4e46d07aaa ## About the Role * Proven experience (at least 5 years) in multicultural and inclusive working environments, with a demonstrated ability to collaborate effectively in diverse teams on international projects * At least 3 years of experience in enterprise consulting, delivering AI-driven solutions and innovative strategies on Google Cloud * Strong experience (3-5 years) in designing and implementing complex AI pipelines on cloud platforms (preferably Google Cloud Platform), integrating heterogeneous data sources and powering machine learning and AI models in digital transformation contexts * A strong problem-solving mindset and the ability to identify AI-based solutions that enable clients in their digital transformation, including taking a leadership or advisory role in defining such strategies * Solid experience in implementing advanced Agentic AI architectures and multi-agent orchestration, including experience with RAG development and the use of leading implementation frameworks (e.g. LangChain, LlamaIndex, Google Gen AI SDK, and protocols such as A2A, MCP, AP2) * Advanced knowledge of LLM models, prompt engineering, programming languages, Python (at least 5 years), and familiarity with data science frameworks * A professional Google Cloud certification (ML Engineer preferred, or Data Engineer, Cloud Architect, Cloud Developer, DevOps Engineer, Database Engineer), STEM degree. ## Description We are looking for visionary Data Engineers, ready to lead technological transformation through the power of Google Cloud. Join us to make a concrete contribution to the future of digital transformation, where creativity, strategy, and cross-cultural collaboration are the driving forces of change. If you want to apply your skills to cutting-edge technologies and play a leading role in designing innovative solutions for our clients, this is the right place for you. Your role and career prospects Join our international network of Google Cloud talent. You will work with innovative technologies on exciting projects, implementing modern and scalable solutions. You will have the opportunity to engage with leading organizations in the field, access tailored learning paths and training delivered directly by top Google experts, and become part of a highly skilled team with a constant focus on innovation. * You will take on a key role as a Senior Data Scientist, providing strategic consulting to clients and developing AI-driven solutions that enable their growth and innovation. * Design and build advanced data pipelines on Google Cloud, integrating heterogeneous data sources to feed predictive and AI models * Define modern machine learning and deep learning architectures, leveraging cloud-native frameworks and services, with a strong focus on Generative AI technologies * Lead innovative projects that enable clients to harness the potential of Generative Artificial Intelligence, implementing multimodal models and multi-agent frameworks on Google Cloud platforms * Manage and coordinate multidisciplinary teams, facilitating dialogue between clients, stakeholders, and technical specialists to ensure the success of each digital transformation initiative * Learn and collaborate with Accenture Google Certified Fellows and Google Cloud professionals, enhancing both your technical and managerial skills in a center-of-excellence environment ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Got AI ideas but no money? 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