Time since we first saw it
Day 36
Similar jobs usually come down between day 6 and day 48.
Well past SIXT’s usual: its jobs come down by about day 9.
From 1,463 similar postings that came down, and 91 of SIXT’s. Coming down is not always a hire.
Reads like an Analytics Engineer role: dbt models and clean tables.
Bengaluru, Karnataka, India
Live, first seen by us 36 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design the semantic layer and ontologies on the AWS-based data platform
Build text-to-SQL agents that turn the semantic layer into business value
Own data engineering work end-to-end, using Git, CI/CD, code reviews and testing
you design the semantic layer and ontologies on top of our AWS-based data platform
build the text-to-SQL agents that turn them into business value
take ownership end-to-end
You bring 9+ years in analytics/data engineering
hands-on experience building a semantic or metrics layer
productionizing LLM based applications, ideally text-to-SQL or RAG systems
You are highly proficient in SQL and Python
you have worked with modern cloud data warehouses (Redshift, Snowflake, or Databricks) on AWS
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
- 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
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! 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
- 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)
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
From the employer’s posting.
We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 36
Similar jobs usually come down between day 6 and day 48.
Well past SIXT’s usual: its jobs come down by about day 9.
From 1,463 similar postings that came down, and 91 of SIXT’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Yes. We’ve followed 4 other AI Data Engineer III jobs there since May 2026. 4 came down, usually after about 13 days.
Large employers often post one title for several teams, so these can be separate openings.
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
YOUR SKILLS MATTER
WHAT WE OFFER
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!
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Bengaluru, Karnataka, India
- 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
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We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting