Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At SIXT, jobs usually come down by about day 9.
From 11,508 similar postings that came down, and 96 of SIXT’s. Coming down is not always a hire.
Bengaluru, Karnataka, India
Likely evergreen, first seen by us 1 day agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
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! 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
- 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)
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
From the employer’s posting.
We are a globally leading mobility service provider with a revenue of €4.3 billion and around 9,000 employees worldwide.
In the employer’s words · Read in context
Likely evergreenReposted 2 times since Sep 23, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
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 1
Early. Similar jobs usually come down between day 6 and day 54.
At SIXT, jobs usually come down by about day 9.
From 11,508 similar postings that came down, and 96 of SIXT’s. Coming down is not always a hire.
7 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 5 other AI Data Engineer III jobs there since May 2026. 5 came down, usually after about 14 days.
If this one keeps the same pace, it may come down around November 21.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% 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 Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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!
YOURS TO OWN
YOUR SKILLS MATTER
WHAT WE OFFER
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!
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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
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting