AI Data Engineer III

Job Summary

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 realtime 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!

Responsibilities

• 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

Skills

• Education You hold a B.Tech, B.E., or Masters 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.