Senior Data Engineer - AI & Agentic Pipelines

1w1 week ago

SIXT

Lisbon, PT · Full-time · €65,000 – €95,000

About this role

The central Business Intelligence team builds and maintains the SIXT Data Platform and its Data Catalogue, serving thousands of users globally. The flagship SIXT Data Shop ingests tens of millions of events daily, processes them for diverse needs, and delivers insights via self-service batch processes to real-time ML model endpoints.

Current focus areas advance operational automation, expand self-service for data ingestion, ETL workflows, and distribution, while enabling innovative use cases for customers. The team tackles these challenges with hands-on approaches and constant exploration of cutting-edge technologies.

A team of 20 Data Engineers and Business Intelligence Engineers collaborates interculturally, valuing success, agility, and ownership. They maintain the platform serving global users with high standards of data protection.

Join the SIXT family to drive the Data Platform vision through expertise and innovative ideas. Contribute to agentic pipelines and AI-powered data products in a dynamic environment.

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field preferred; at least 5 years of professional experience as senior data engineer
Strong experience with hybrid Data Lake and Data Warehouse architectures, including end-to-end automation of data models from source systems to analytical dashboards using ELT methodologies
Proven expertise with analytical cloud data warehouses (Redshift, Snowflake), data transformation using dbt, and orchestrating interdependent workflows with Apache Airflow
Hands-on experience with AI coding assistants and agentic workflow automation; ability to leverage LLMs with contextual data and solid understanding of RAG systems
Demonstrated experience designing agentic architectures where LLM-driven agents are orchestrated across coding, validation, and data quality stages with structured quality gates
Experience with vector and/or graph databases feeding RAG is a strong plus
Defines specs and acceptance criteria that autonomous agents can execute end-to-end, reviews diffs rather than line-by-line output, and encodes quality standards as automated pipeline gates

Responsibilities

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
Partner with Data Engineers, BI Analysts, and Data Scientists to architect optimal solutions for dashboarding, ad hoc analytics, data-as-a-product, and machine learning
Contribute to the Data Platform vision and roadmap through expertise, innovative ideas, and intellectual curiosity
Demonstrate exceptional work ethics and integrity when handling sensitive customer data, maintaining the highest standards of data protection
Design and implement multi-agent workflows that automate end-to-end data operations from ingestion and transformation to quality validation and distribution
Define clear specs, acceptance criteria, and quality gates so agents execute reliably with minimal human intervention
Drive 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