Back to jobs

AI Data Engineer III

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Education & alternatives
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

Tools in this posting

  • Python
  • SQL
  • AWS
  • Databricks
  • dbt
  • Redshift
  • Snowflake
Source — Tool mentions in context
- 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

Benefits in the posting

Full benefits wording
  • Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours
  • Your Wellness Matters We are committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits

From the employer’s posting.

About SIXT

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

Posting record

Report an error

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.

Status in our records
Live
First seen by us
Nov 7, 20261 day ago
Recorded sightings
1
Last seen by us
Nov 8, 2026
Reposted
2 times since Sep 23, 2026

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.

How this job compares

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.

SIXT is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Takes jobs down quickly
  • 71% of open jobs were reposted
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

Applying through SmartRecruiters

  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Has SIXT posted this job before?

Yes. We’ve followed 5 other AI Data Engineer III jobs there since May 2026. 5 came down, usually after about 14 days.

  1. BengaluruCame down after 9 days, first seen May 13
  2. BengaluruCame down after 14 days, first seen May 22
  3. BengaluruCame down after 12 days, first seen Jul 8
  4. BengaluruCame down after 51 days, first seen Aug 31
  5. BengaluruCame down after 37 days, first seen Sep 30
  6. This jobUp 1 day so far, first seen Nov 7

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.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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!

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

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
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting