SIXT
Automotive
AIDataEngineerIII
“AI Data Engineer III at SIXT. Skills: AI Data Engineering, AWS, LLMs, Agentic Workflows. lead, explore and implement AWS and big data technologies. architect optimal solutions for analytical use cases”
What You'll Achieve.
deliver insights through a comprehensive toolbox; agents execute reliably with minimal human intervention
Industry & Context.
decompose complex data problems; identifying architectural drift; course-correcting
handling sensitive customer data, highest standards of data protection
What They're Looking For.
Must Have
B. Tech. E/ Master’s Degree in Computer Science or similar discipline, 6+ years of professional experience as Senior Data Engineer, experience working on hybrid Data Lake and Data Warehouse architectures, end-to-end automation of data models from source systems to analytical dashboards using ELT methodologies, expertise with analytical cloud data warehouses (Redshift, Snowflake), data transformation using dbt, orchestrating interdependent workflows with Apache Airflow, hands-on experience with AI coding assistants and agentic workflow automation, Ability to leverage LLMs with contextual data and RAG (Retrieval-Augmented Generation) systems, demonstrated experience designing agentic architectures where LLM-driven agents are orchestrated across coding, validation, and data quality stages with structured quality gates, define specs and acceptance criteria that autonomous agents can execute end-to-end, reviews diffs rather than line-by-line output, encodes quality standards as automated pipeline gates, ability to decompose complex data problems into structured, measurable specs, identifying architectural drift in agent-generated outputs and course-correcting, foundation in engineering best practices throughout the development lifecycle, agile methodologies, code reviews, source control (GitHub), CI/CD pipelines (Jenkins), testing, operations, Deep understanding of data management fundamentals, distributed systems, data storage/compute principles, advanced proficiency in Python, advanced proficiency in SQL
Nice to Have
Experience with vector and/or graph databases feeding RAG is a plus, Experience building or evaluating multi-agent orchestration (coding → QA → validation agents) is a plus
What You'll Do.
explore and implement AWS and big data technologies
architect optimal solutions for analytical use cases
contribute to Data Platform vision and roadmap
design and implement multi-agent workflows
automate end-to-end data operations
drive adoption of LLM-augmented data capabilities
implement RAG pipelines
implement semantic search
implement AI-assisted self-service experiences
How You'll Work.
Team & Collaboration
partner with Data Engineers, BI Analysts, and Data Scientists; collaborative
Applying for this AI Data Engineer III role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about SIXT?
Real rants from real employees. Read before you apply.