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Collaborate with data scientists, data engineers, consultants, and clients to identify business challenges and extract insights. Develop statistical models, optimization solutions, machine learning applications, and Generative AI solutions. Present analytical findings, translate technical concepts into recommendations, and support client workshops across multidisciplinary projects.

Build scalable data models and ETL/ELT pipelines, develop reliable data products, implement data governance, and create analytics solutions such as dashboards and APIs. Consult with business teams to translate needs into technical solutions, support production rollouts and change management, train users, and contribute to internal expertise, research, publications, and business development.

Own end-to-end architectures for cloud, data, machine learning, deep learning, generative AI, and agent-based client solutions. Lead architecture reviews, technical governance, production readiness, and stakeholder engagement while addressing security, compliance, scalability, reliability, observability, and cost. Support pre-sales through scoping, proposals, effort estimates, and presentations. Mentor engineers, develop internal accelerators, and contribute to AI consulting engagements from assessment through deployment.

Designs end-to-end cloud, data, machine learning, generative AI, and agent architectures for client engagements. Leads architecture reviews, technical governance, production readiness, security, compliance, scalability, reliability, and cost optimization. Acts as the primary technical advisor to senior stakeholders, removes engineering impediments, supports pre-sales scoping and proposals, identifies account expansion opportunities, mentors technical teams, and develops internal AI accelerators and reference architectures.

Lead end-to-end architectures for cloud, data, machine learning, deep learning, generative AI, and agent-based systems. Serve as the technical authority for client engagements, aligning solutions with business, security, compliance, scalability, reliability, and cost requirements. Lead architecture reviews, guide engineering teams, oversee delivery from assessment through production, and support pre-sales proposals and estimations. Mentor consultants and engineers while developing internal AI accelerators and reference architectures.

Own end-to-end product marketing for a major subscription product release, including positioning, messaging, go-to-market strategy, launches, stakeholder communication, project coordination, and website content maintenance. Coordinate cross-functional workstreams, timelines, dependencies, risks, and blockers while translating technical developments into clear narratives and execution plans. The role requires a versatile, hands-on generalist comfortable with ambiguity, digital and AI-enabled environments, and independent ownership.

Supports client transformation projects through intelligent data structuring, data analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. The role involves consulting assignments, team support, knowledge sharing, and rapid responsibility growth. Candidates need a Civil or Business Engineering master’s degree, consulting experience, strong analytical and communication skills, interest in energy and data/AI, fluency in French, Dutch, and English, and willingness to accept temporary international assignments.

Build and deploy data engineering and machine learning infrastructure for client projects and internal AI solutions. Responsibilities include cloud architecture across GCP, AWS, and Azure; Docker and Kubernetes orchestration; Python development; CI/CD; ETL and data pipelines; Infrastructure as Code; application security; and ML platform enablement. The role also involves consulting, technology evaluation, deployment support, and collaboration with data science teams.

Lead AI product development, contribute machine learning expertise to client projects, and make cloud architecture decisions. Build production-grade ML and AI solutions, guide data scientists in scaling models, and optimize, test, and deploy pipelines. Mentor engineers, deliver training, lead meetings and events, and represent the organization through conferences, blog articles, and client workshops. The role requires collaboration across international data teams and travel to local and international clients.

Supports client transformation projects through intelligent data structuring, data analysis, benchmarking, interviews, workshop facilitation, process mapping, and functional specifications. The role involves consulting engagements, team support, knowledge creation, and helping clients apply data and AI opportunities, particularly in the energy sector. Candidates need a master’s degree in civil or business engineering, consulting experience, strong analytical and communication skills, fluency in French, Dutch, and English, and willingness to accept temporary international assignments.