Join Wavestone, an international consulting firm, in the AI business unit as a Senior Data Platform Engineer. You will be part of a team of about 200 consultants helping large organizations transform their data and AI capabilities, from identifying high-impact use cases to designing and deploying cutting-edge Data & AI platforms. You will work on end-to-end engagements in France and internationally, aligning solutions with governance, security, and performance standards. As a Senior Data Platform Engineer, you will play a key role in conceiving and implementing Data & AI platforms, shaping clients' information systems, and delivering architecture, deployment, and governance improvements. Responsibilities include: data & AI cloud, hybrid, or on-premises platform architectures integrating cloud providers (GCP, AWS, Azure, OVH, Blue, etc.), market tools (Dataiku, Databricks, Snowflake, etc.), and bespoke solutions; ensuring governance, security and performance alignment; deploying scalable AI & Data platforms including storage (data lakes, data warehouses, lakehouses) and data integration pipelines (ETL/ELT); building event-driven, real-time architectures; conducting technology benchmarks and staying current with data and AI tooling. Qualifications: 1-3 years of CDI experience in consulting, data, AI, or a demanding tech environment; engineering school, business school or university with data/AI specialization; proficiency in French and English; preferred skills in data platform concepts and basic market solutions; strong communication, teamwork, autonomy, reliability, and men
Join Wavestone, an international consulting firm, in the AI business unit as a Senior Data Platform Engineer. You will be part of a team of about 200 consultants helping large organizations transform their data and AI capabilities, from identifying high-impact use cases to designing and deploying cutting-edge Data & AI platforms. You will work on end-to-end engagements in France and internationally, aligning solutions with governance, security, and performance standards. As a Senior Data Platform Engineer, you will play a key role in conceiving and implementing Data & AI platforms, shaping clients' information systems, and delivering architecture, deployment, and governance improvements. Responsibilities include: data & AI cloud, hybrid, or on-premises platform architectures integrating cloud providers (GCP, AWS, Azure, OVH, Blue, etc.), market tools (Dataiku, Databricks, Snowflake, etc.), and bespoke solutions; ensuring governance, security and performance alignment; deploying scalable AI & Data platforms including storage (data lakes, data warehouses, lakehouses) and data integration pipelines (ETL/ELT); building event-driven, real-time architectures; conducting technology benchmarks and staying current with data and AI tooling. Qualifications: 1-3 years of CDI experience in consulting, data, AI, or a demanding tech environment; engineering school, business school or university with data/AI specialization; proficiency in French and English; preferred skills in data platform concepts and basic market solutions; strong communication, teamwork, autonomy, reliability, and men
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