SIXT
mobility service provider
SeniorDataEngineer–AI&AgenticPipelines(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer – AI & Agentic Pipelines (m/f/d) at SIXT. Skills: AI & Agentic Pipelines, Data Platform, AWS, big data technologies, Redshift, Snowflake, dbt, Apache Airflow, Python, SQL, LLMs, RAG pipelines. Drive Innovation: Explore and implement the latest AWS and big data technologies. Collaborate Cross-Functionally: Partner with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions for diverse analytical use cases”
What You'll Achieve.
Build integrations for the SIXT Data Shop; Architect optimal solutions for diverse analytical use cases, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning; Automate end-to-end data operations — from ingestion and transformation to quality validation and distribution; Drive the adoption of LLM-augmented data capabilities within the SIXT Data Shop, including RAG pipelines, semantic search over the Data Catalogue, and AI-assisted self-service experiences for internal consumers
Industry & Context.
Decompose complex data problems into structured, measurable specs; Identifying architectural drift in agent-generated outputs and course-correcting
What They're Looking For.
Must Have
At least 5 years of professional experience as senior data engineer, Advanced proficiency in Python, Advanced proficiency in SQL
Nice to Have
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field, Experience with hybrid Data Lake and Data Warehouse architectures, Experience with analytical cloud data warehouses (Redshift, Snowflake), Data transformation using dbt, Orchestrating interdependent workflows with Apache Airflow, Hands-on experience with AI coding assistants, Hands-on experience with agentic workflow automation, Ability to leverage LLMs with contextual data, Solid understanding of RAG systems, Demonstrated experience designing agentic architectures where LLM-driven agents are orchestrated across coding, validation, and data quality stages with structured quality gates, Experience building or evaluating multi-agent orchestration (coding → QA → validation agents), Experience building or evaluating multi-agent orchestration, Experience building or evaluating coding agents, Experience building or evaluating QA agents, Experience building or evaluating validation agents, Experience building or evaluating structured quality gates, Experience with vector databases feeding RAG, Experience with graph databases feeding RAG, Defines 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, 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, Deep understanding of distributed systems, Deep understanding of data storage/compute principles
What You'll Do.
Drive Innovation: Explore and implement the latest AWS and big data technologies
Collaborate Cross-Functionally: Partner with Data Engineers
and Data Scientists to architect optimal solutions for diverse analytical use cases
Shape Platform Strategy: Contribute to the Data Platform vision and roadmap
Ensure Data Integrity: Demonstrate exceptional work ethics and integrity when handling sensitive customer data
Architect Agentic Pipelines for Analytics: Design and implement multi-agent workflows that automate end-to-end data operations
Enable AI-Powered Data Products: Drive the adoption of LLM-augmented data capabilities
How You'll Work.
Team & Collaboration
Collaborate Cross-Functionally: Partner with Data Engineers, BI Analysts, and Data Scientists; Work alongside engineers, product experts, and business teams
Communication Scope
Collaborate Cross-Functionally
Process & Methodology
Agile methodologies
Full Job Description
The central Business Intelligence team builds and maintains the SIXT Data Platform and its Data Catalogue, serving thousands of users globally. Our flagship product, the SIXT Data Shop, ingests tens of millions of events daily, processes them to meet diverse consumer needs, and delivers insights through a comprehensive toolbox—from self-service batch processes to real-time ML model endpoints. Our current focus areas include advancing operational automation, expanding self-service capabilities for data ingestion, ETL workflows, and distribution, and enabling innovative use cases for our customers. Our team of 20 Data Engineers and Business Intelligence Engineers is hands-on, collaborative, and constantly exploring cutting-edge technologies. At SIXT, we value success, agility, ownership, and intercultural collaboration. Join us and become part of the SIXT family. YOUR ROLE AT SIXT * Drive Innovation : Explore and implement the latest AWS and big data technologies to uncover hidden opportunities, enable new capabilities, and build integrations for the SIXT Data Shop. * Collaborate Cross-Functionally : Partner with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions for diverse analytical use cases, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning. * Shape Platform Strategy : Contribute to the Data Platform vision and roadmap through your expertise, innovative ideas, and intellectual curiosity. * Ensure Data Integrity : Demonstrate exceptional work ethics and integrity when handling sensitive customer data, maintaining the highest standards of data protection. * Architect Agentic Pipelines for Analytics : Design and implement multi-agent workflows that automate end-to-end data operations — from ingestion and transformation to quality validation and distribution — defining clear specs, acceptance criteria, and quality gates so agents execute reliably with minimal human intervention. * Enable AI-Powered Data Pro
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