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
You 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
You 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
You contribute to the Data Platform vision and roadmap through your expertise, innovative ideas, and intellectual curiosity
You design and implement multi-agent workflows that automate end-to-end data operations — from ingestion and transformation to quality validation and distribution — with clear specs, acceptance criteria, and quality gates
You 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
You demonstrate exceptional work ethics and integrity when handling sensitive customer data, maintaining the highest standards of data protection at all times
YOUR SKILLS MATTER
Education Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, and bring at least 5 years of professional experience as a Senior Data Engineer
Background You have strong experience with hybrid Data Lake and Data Warehouse architectures, including end-to-end automation of data models using ELT methodologies
Tools & Platforms You have proven expertise with analytical cloud data warehouses such as Redshift or Snowflake, data transformation using dbt, and workflow orchestration with Apache Airflow
Knowledge You have hands-on experience with AI coding assistants, agentic workflow automation, and LLM-based systems including RAG architectures — experience with vector or graph databases and multi-agent orchestration is a strong plus
Practices You have a strong foundation in engineering best practices including agile methodologies, code reviews, source control (GitHub), CI/CD pipelines, testing, and distributed systems
Experience You are proficient in Python and SQL, and are able to decompose complex data problems into structured, measurable specs that agent systems can consume and execute reliably
Additional Information
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!
