
5001 - 10000 employees
Founded 1912
🚗 Transport
👥 B2C
🤝 B2B
Transport • B2C • B2B
SIXT is a global mobility company offering premium car rental, long-term rentals, car subscriptions, chauffeur services, and car-sharing through an integrated app and worldwide station network. With over 2,000 stations in 105+ countries and a diverse fleet of 222,000+ vehicles including luxury and specialty models, SIXT serves leisure and corporate customers with airport and city pick-up/return, business fleet solutions, and digital booking and loyalty features.
🕒 June 25
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5001 - 10000 employees
Founded 1912
🚗 Transport
👥 B2C
🤝 B2B
Transport • B2C • B2B
SIXT is a global mobility company offering premium car rental, long-term rentals, car subscriptions, chauffeur services, and car-sharing through an integrated app and worldwide station network. With over 2,000 stations in 105+ countries and a diverse fleet of 222,000+ vehicles including luxury and specialty models, SIXT serves leisure and corporate customers with airport and city pick-up/return, business fleet solutions, and digital booking and loyalty features.
• Explore and implement the latest AWS and big data technologies • Partner with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions • Contribute to the Data Platform vision and roadmap • Design and implement multi-agent workflows that automate end-to-end data operations • Drive the adoption of LLM-augmented data capabilities within the SIXT Data Shop • Demonstrate exceptional work ethics and integrity when handling sensitive customer data.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field • At least 5 years of professional experience as a Senior Data Engineer • Strong experience with hybrid Data Lake and Data Warehouse architectures • Proven expertise with analytical cloud data warehouses such as Redshift or Snowflake • Data transformation using dbt • Workflow orchestration with Apache Airflow • Hands-on experience with AI coding assistants, agentic workflow automation, and LLM-based systems • Experience with vector or graph databases and multi-agent orchestration is a strong plus • Strong foundation in engineering best practices including agile methodologies, code reviews, source control (GitHub), CI/CD pipelines, testing, and distributed systems • Proficient in Python and SQL.
• Employees can work remotely
Apply Now🕒 June 16
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