Senior Analytics Engineer

About the role We are looking for a Senior Analytics Engineer who comfortably bridges the gap between modern data architecture, business strategy, and the transformative potential of AI. Rather than a traditional, backend pipeline builder, we need a hybrid professional who thrives at the intersection of business strategy and technical execution: Strategic Business Advisor: You will act as a trusted consultant to our multinational clients, translating complex business needs into data strategies, asking the right questions, and shaping recommendations that go far beyond a technical brief. AI-Empowered Builder: You will get your hands dirty with implementation, but with a modern twist. Instead of building manual, repetitive pipelines from scratch, you will leverage and steer AI-driven agentic solutions to accelerate modeling, ETL/ELT development, and BI creation, while critically auditing and refining the generated output. As a senior member of our Data Integration team, you will help our clients navigate and harness the ways AI is actively reshaping the engineering and analytics landscape. Your responsibilities As a Senior Analytics Engineer, you will   act as the primary technical liaison for business stakeholders, translating business needs into functional specifications, data models, and strategic recommendations You will design, develop, and review robust, scalable ETL/ELT solutions (with a strong focus on Snowflake) leveraging GenAI, copilots, and agentic solutions to automate and optimize development In this role, you will   design and review efficient data models (e.g., Data Vault, Star/Snowflake schemas) and create intuitive BI dashboards (Power BI) to drive client decisions You will critically assess, test, and audit AI-generated pipelines, documentation, and code to ensure enterprise-grade reliability and performance Your role will be to guide and challenge clients on their AI/data strategy, identifying high-value opportunities where AI can improve data quality, pipeline efficiency, or analytics workflows In this role, you will champion engineering best practices (documentation, Git/CI-CD, query optimization) and mentor team members on integrating AI into their workflows Our requirements 5+ years of experience   in Data Engineering, Business/Data Analysis, or a similar role, ideally within a consulting or client-facing environment A proven track record of hands-on experience in technical execution while confidently presenting strategy to business stakeholders High proficiency in advanced SQL development, modern Data Warehousing concepts (Snowflake highly preferred), data modeling, and BI tools (Power BI preferred) Genuine curiosity and hands-on experience using AI/GenAI tools for development (e.g., AI-assisted pipelines, LLM-based data quality, RAG pipelines, or BI integrations) and you know how to use these tools to multiply your output and can separate real value from AI hype Good grasp of Git,…