AI Data Engineer III

About this role

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Skills you'll use

What you'll do

• You define and build our semantic layer (metrics, dimensions, entities) on top of the AWS data warehouse, creating a single source of truth for KPIs consumed by BI tools, analysts, and AI agents
• You design and implement text-to-SQL agents on the data warehouse, from retrieval and prompt strategy over query generation and validation to evaluation pipelines that measure answer accuracy
• You specify ontologies and business glossaries for the mobility domain (rental, fleet, pricing, customer) and publish them in machine-readable form so agents and services can consume them
• You integrate semantic context, metadata, and lineage from our data catalogue into agent workflows, and define the standards that make datasets "agent-ready"
• You partner closely with data engineers, analysts, and our AI platform teams, evangelize semantic modeling best practices, and mentor engineers across the platform organization
• You continuously evaluate emerging tooling (semantic layer engines, knowledge graphs, LLM frameworks) and drive build-vs-buy decisions
• YOUR SKILLS MATTER
• Education You have B.Tech, B.E, or Master's degree in Computer Science or a closely related discipline
• Experience You bring 9+ years in analytics/data engineering, including hands-on experience building a semantic or metrics layer (e.g. dbt Semantic Layer, Cube, AtScale, LookML) and productionizing LLM based applications, ideally text-to-SQL or RAG systems
• Tech Stack You are highly proficient in SQL and Python; you have worked with modern cloud data warehouses (Redshift, Snowflake, or Databricks) on AWS, and with LLM frameworks and APIs (e.g. LangChain, Bedrock, Anthropic API)

Who can apply

• Tech Stack You are highly proficient in SQL and Python; you have worked with modern cloud data warehouses (Redshift, Snowflake, or Databricks) on AWS, and with LLM frameworks and APIs (e.g. LangChain, Bedrock, Anthropic API)
• Semantic Modeling Your experience in dimensional and semantic data modeling is a Big plus; Knowledge of ontology standards (RDF, OWL, SKOS), knowledge graphs, or MCP-based agent context is again an advantage
• Ways of Working You work with engineering best practices (Git, CI/CD, code reviews, testing), take ownership end-to-end, and communicate complex concepts clearly to technical and business stakeholders
• Grow Further, Go Further Advance your skills and unlock your potential with our Education Assistance Program
• AI Excellence With Claude by Anthropic and SIXTgpt, our own AI platform, you work with state-of-the-art AI tools from day one, with the freedom to try new technologies and use AI to work faster and smarter
• Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours
• Fuel Your Day Great work deserves great fuel — enjoy meal benefits that keep you energised and ready to bring your A-game
• Your Wellness Matters We are committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits

Perks & benefits

About SIXT

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