AI Data Engineer III

Posted 4 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Expert/Leader
Automotive • Sharing Economy • Transportation • Travel
The Role
Build semantic layers, ontologies, business glossaries, and text-to-SQL agents on an AWS data platform. Develop retrieval, prompting, query validation, evaluation pipelines, and agent-ready data standards. Integrate metadata and lineage, evaluate LLM and knowledge graph tooling, partner with data and AI teams, promote semantic modeling practices, and mentor engineers.
Summary Generated by Built In
Job Description

At SIXT, we are building the semantic foundation that lets AI agents and thousands of analysts query our data platform reliably in natural language. As Senior Analytics/Data Engineer in our Data Platform team, you design the semantic layer and ontologies on top of our AWS-based data platform and build the text-to-SQL agents that turn them into business value. You will join a team of 30 data engineers building the data platform for analytics and AI agents across the SIXT group, working with state-of-the-art LLM technology to shape how our business interacts with data, apply now and become part of Team Orange!

YOURS TO OWN

  • 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)
  • Semantic Modeling You have 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

WHAT WE OFFER

  • 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
  • Recognition That Counts We create a culture of appreciation, rewarding your impact through referral incentives and loyalty perks as you grow with us
  • Growing Families, Growing Joy As your family grows, we are here to celebrate with a special newborn gift for your little one

Additional Information

About us:

We are a globally leading mobility service provider with a revenue of €4.3 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 360,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 100 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!

Skills Required

  • B.Tech, B.E., or Master's degree in Computer Science or a closely related discipline
  • 9+ years of experience in analytics or data engineering
  • Hands-on experience building a semantic or metrics layer, such as dbt Semantic Layer, Cube, AtScale, or LookML
  • Production experience with LLM-based applications, ideally text-to-SQL or RAG systems
  • High proficiency in SQL and Python
  • Experience with modern cloud data warehouses including Redshift, Snowflake, or Databricks on AWS
  • Experience with LLM frameworks and APIs such as LangChain, Bedrock, or Anthropic API
  • Experience in dimensional and semantic data modeling
  • Knowledge of ontology standards such as RDF, OWL, or SKOS
  • Knowledge of knowledge graphs or MCP-based agent context
  • Engineering best practices including Git, CI/CD, code reviews, and testing
  • Ability to communicate complex concepts clearly to technical and business stakeholders

Sixt SE Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sixt SE and has not been reviewed or approved by Sixt SE.

  • Leave & Time Off Breadth — Time off is generous in Germany, with 30 vacation days plus additional days for certain occasions and work anniversaries. This breadth is particularly strong for headquarters and eligible roles.
  • Retirement Support — Retirement-plan support and capital-forming benefits are part of the offering, with broader financial programs referenced in some regions. These elements strengthen total rewards for employees who qualify.
  • Wellbeing & Lifestyle Benefits — Mobility allowances, company and partner discounts, bike leasing, and amenities like subsidized meals, a gym, and recreational facilities enhance day-to-day value. Hybrid work for eligible headquarters roles and, in certain positions, access to a company car and fuel card add further lifestyle advantages.

Sixt SE Insights

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The Company
HQ: Fort Lauderdale, FL
10,602 Employees
Year Founded: 1912

What We Do

Sixt SE is an international provider of mobility services, offering vehicle rental, car sharing, subscriptions, and transfer services through its app and branch network.

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