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AI Data Engineer III

External
Sixt logoSixt · Bengaluru, India
Full-timeOn-siteToday
AgileAirflowApacheAWSCI/CDdbt
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About the role

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

Benefits

Cutting-Edge Tech: You Will be part of a dynamic tech-driven environment where innovation meets impact! We offer exciting challenges, cutting-edge technologies, and the opportunity to work with brilliant mindsCompetitive Compensation: A market-leading salary with performance-based rewardsComprehensive Benefits: Health insurance, wellness programs, and generous leave policiesFlexibility & Work-Life Balance: Our culture fosters continuous learning, collaboration, and flexibility, ensuring you grow while making a real difference. Hybrid Work policiesHealth insuranceVision insurance

Additional Information

Millions of events. Thousands of users. One platform built to turn data into decisions - and you could be the one shaping it. As an Senior Data Engineer, you will be at the core of the SIXT Data Platform, driving automation, AI-powered self-service, and real-time ML capabilities that redefine how a global mobility leader operates. Our central Business Intelligence team is hands-on, curious, and moving fast - and we are looking for someone ready to architect what comes next. If that sounds like you, apply now and join Team Orange! YOUR ROLE AT SIXT You lead, 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 - defining clear specs, acceptance criteria, and quality gates so agents execute reliably with minimal human intervention 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 for internal consumers YOUR SKILLS MATTER Education: You hold a B.Tech, B.E., or Master's Degree in Computer Science or a similar discipline Experience: You bring at least 7+ years of professional experience as a Senior Data Engineer with a strong track record in hybrid Data Lake and Data Warehouse architectures, including end-to-end automation of data models from source systems to analytical dashboards using ELT methodologies Tools & Systems: You have deep expertise with analytical cloud data warehouses (Redshift, Snowflake), data transformation using dbt, and orchestrating interdependent workflows with Apache Airflow AI & Agentic Skills: You have hands-on experience with AI coding assistants and agentic workflow automation, including leveraging LLMs with contextual data, designing RAG systems, and orchestrating LLM-driven agents across coding, validation, and data quality stages with structured quality gates - experience with vector and/or graph databases is a strong plus Engineering Best Practices: You have a strong foundation in agile methodologies, code reviews, source control (GitHub), CI/CD pipelines (Jenkins), testing, and operations, paired with a deep understanding of data management fundamentals, distributed systems, and data storage and compute principles Technical Proficiency: You have advanced proficiency in Python and SQL


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