Data Engineer (m/f/d)

As part of a hands-on team of 30+ Data and BI Engineers, you will drive operational automation, expand self-service capabilities, and enable innovative use cases for our customers worldwide. You will build and maintain the SIXT Data Platform and its Data Catalogue, serving thousands of users globally.

• You drive innovation by exploring and implementing the latest AWS and big data technologies to uncover hidden opportunities, enable new capabilities, and build integrations for the SIXT Data Shop
• You collaborate cross-functionally with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions for diverse analytical use cases
• You shape the Data Platform vision and roadmap by contributing your expertise, innovative ideas, and intellectual curiosity
• You ensure data integrity by applying exceptional work ethics when handling sensitive customer data, maintaining the highest standards of data protection

• You hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• At least 3 years of professional experience as a Data Engineer with a strong focus on data modelling
• Proven experience designing scalable data models (dimensional modelling, star/snowflake schemas, Kimball-style methodologies)
• Building end-to-end automation from source systems to analytical dashboards using ELT methodologies
• Hands-on expertise with Amazon Redshift, data transformation using dbt (models, tests, macros, documentation), and orchestrating interdependent workflows with Apache Airflow
• Solid experience with the broader AWS data ecosystem (e.g., S3, Glue, Lambda, IAM) supporting ingestion, storage, and transformation pipelines feeding into Redshift
• Hands-on experience with AI coding assistants and agentic workflow automation
• Strong engineering best practices across the full development lifecycle — including agile methodologies, code reviews, GitHub, CI/CD pipelines (Jenkins), and testing
• Advanced proficiency in Python and SQL
• Deep understanding of distributed systems and data storage/compute principles

• Ideally a solid understanding of RAG (Retrieval-Augmented Generation) systems and how to leverage LLMs with contextual data

• Join a thriving international tech community and work alongside engineers, product experts, and business teams
• Level up through regular events with internal and external speakers
• Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration
• Enjoy 28 vacation days per year
• An additional day off on your birthday
• One volunteer day annually
• Private health insurance that also covers your spouse and children free of charge
• Yearly Coverflex allowance
• Daily meal allowance
• Exclusive rates on all SIXT services, with special discounts extended to your family and friends

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.