Data Engineer / Ingénieur ( e) de données

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Data Engineer role at Klever Programmatic based in Montreal office with hybrid work arrangement. Responsibilities include collaborating with data scientists, domain experts, and software engineers to understand data needs and provide infrastructure; implementing data pipelines for preprocessing, cleaning, and preparing large datasets for AI agents and platform visualizations; working with agent communication and data access patterns such as Agent2Agent (A2A) and MCP; building data pipelines on Google Cloud using BigQuery, Vertex AI, Firestore, external APIs, and other cloud services; developing APIs and MCPs for model-serving and LLM-powered systems. Requirements include minimum 3 years experience implementing AI solutions, knowledge of MLOps/AI platforms, proficiency in Python, familiarity with SQL and data modeling, strong data manipulation and preprocessing skills, experience with batch data processing and orchestration, software development best practices including Git and agile methodologies, understanding of data storage formats like JSON and parquet, knowledge of ML/AI concepts, and interest in coding agents such as Claude Code, Codex, and Copilot. Nice to have skills include Kedro, LangChain, CrewAI, TensorFlow, PyTorch, Terraform, Docker, big data technologies, distributed computing, and domain knowledge in advertising and marketing. Soft skills required are strong communication, creative problem solving, ability to work in fast-paced agile environment, self-motivation, teamwork, attention to detail, and organizational skills.