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AI Data Engineer III

SIXT sixt.com Open
Hybrid Bengaluru Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at SIXT. Bengaluru · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityMid-level
LocationBengaluru
WorkplaceHybrid
EmploymentFull-time
PostedSep 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build a shared semantic layer of metrics, dimensions and entities for BI users, analysts and AI agents
  • Create text-to-SQL agents, covering retrieval, prompting, query checks and accuracy evaluation
  • Turn mobility concepts such as rental, fleet and pricing into machine-readable ontologies and glossaries
  • Bring catalogue metadata and lineage into agent workflows, and set standards for agent-ready datasets
  • Guide semantic modeling across teams, assess emerging tools and make build-or-buy recommendations

What you bring

  • At least nine years in analytics or data engineering, including hands-on semantic or metrics layer work
  • You have taken LLM applications into production, ideally text-to-SQL or RAG systems
  • You are proficient in SQL and Python and have used AWS data warehouses and LLM frameworks or APIs
  • A computer science degree, or a closely related discipline, is required

Who this fits

This role suits an experienced engineer who can own semantic modeling and production LLM applications while working with technical and business partners. It is a hybrid position in Bengaluru.

From the employer

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!

YOUR ROLE AT SIXT

  • 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

About us:

We are a globally leading mobility service provider with a revenue of €4.00 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 350,000 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 110 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!

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.