
Senior Data Consultant
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in France.
• Create and implement scalable data pipelines for both structured and unstructured datasets.
• Conduct data discovery, profiling, and quality assessments.
• Evaluate the accessibility and preparedness of data needed for various projects.
• Develop conceptual, logical, and physical data models.
• Establish and uphold metadata, taxonomies, business glossaries, data dictionaries, and lineage systems.
• Integrate data from databases, APIs, enterprise applications, files, documents, and cloud services.
• Design reusable datasets tailored for generative AI and agentic AI initiatives.
• Prepare data essential for RAG and GraphRAG architectures, semantic search, embeddings, and knowledge graphs.
• Contribute to governance frameworks addressing ownership, privacy, quality, retention, compliance, and data traceability.
• Engage in analytics, Business Intelligence, Machine Learning, and MLOps projects.
• Document data models, contracts, quality standards, and governance protocols.
• Convert business requirements into dependable data models and structures.
• Collaborate with technical teams and business stakeholders.
• Minimum of 5 years' experience in Data Engineering, Data Science, Analytics, Business Intelligence, data modeling, or data governance and quality.
• Strong expertise in SQL and Python (essential).
• Familiarity with ETL/ELT processes.
• Experience with at least one orchestration or transformation tool, such as dbt, Apache Airflow, or Azure Data Factory.
• Experience with at least one Cloud Data platform, such as Snowflake, BigQuery, Azure Data Lake, Microsoft Fabric, or Databricks.
• Understanding of metadata concepts, data lineage, business glossaries, data quality, and data governance.
• Ability to translate business requirements into reliable data models and structures.
• Proficiency in PowerDesigner, UML, or Merise.
• Familiarity with Collibra, Informatica, or a cloud data catalog.
• Experience with vector databases, embeddings, or knowledge graphs.
• Knowledge of RAG, GraphRAG architectures, semantic search, or AI agents.
• Background in MLOps, streaming, or real-time data processing.
• Experience in a regulated industry: banking, insurance, telecommunications, healthcare, or the public sector.
• Fluent in French required.
• Fluent in English required.
• Fully remote work.
• Permanent contract (CDI).
• Position open to individuals with disabilities.
• Commitment to diversity and inclusion.
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