Senior Data Engineer – AI & Agentic Pipelines (m/f/d)
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Senior Data Engineer – AI & Agentic Pipelines (m/f/d)
Location
Lisbon, , Portugal
Experience
Senior
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
## Job Description
The central Business Intelligence team builds and maintains the SIXT Data Platform and its Data Catalogue, serving thousands of users globally. Our flagship product, the SIXT Data Shop, ingests tens of millions of events daily, processes them to meet diverse consumer needs, and delivers insights through a comprehensive toolbox—from self-service batch processes to real-time ML model endpoints.
Our current focus areas include advancing operational automation, expanding self-service capabilities for data ingestion, ETL workflows, and distribution, and enabling innovative use cases for our customers. Our team of 20 Data Engineers and Business Intelligence Engineers is hands-on, collaborative, and constantly exploring cutting-edge technologies. At SIXT, we value success, agility, ownership, and intercultural collaboration. Join us and become part of the SIXT family.
YOUR ROLE AT SIXT
- You 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 — with clear specs, acceptance criteria, and quality gates
- 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
- You demonstrate exceptional work ethics and integrity when handling sensitive customer data, maintaining the highest standards of data protection at all times
YOUR SKILLS MATTER
- Education Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, and bring at least 5 years of professional experience as a Senior Data Engineer
- Background You have strong experience with hybrid Data Lake and Data Warehouse architectures, including end-to-end automation of data models using ELT methodologies
- Tools & Platforms You have proven expertise with analytical cloud data warehouses such as Redshift or Snowflake, data transformation using dbt, and workflow orchestration with Apache Airflow
- Knowledge You have hands-on experience with AI coding assistants, agentic workflow automation, and LLM-based systems including RAG architectures — experience with vector or graph databases and multi-agent orchestration is a strong plus
- Practices You have a strong foundation in engineering best practices including agile methodologies, code reviews, source control (GitHub), CI/CD pipelines, testing, and distributed systems
- Experience You are proficient in Python and SQL, and are able to decompose complex data problems into structured, measurable specs that agent systems can consume and execute reliably
WHAT WE OFFER
- The SIXT Lisbon Experience Two of Lisbon's most exciting hubs — Factory Lisboa in Beato and ARTs Lisboa in Parque das Nações — are where you'll find your new home base. Expect a fast-paced, international atmosphere where ideas flow freely, people genuinely look out for each other, and no two days feel quite the same
- Community & International Environment Join a truly global workplace with colleagues from many nationalities. Regular team events, community activities, and inspiring talks with internal and external speakers make our Lisbon hubs more than just an office
- Modern Work Setup Benefit from a hybrid working model with two office days per week. Our modern offices are designed for collaboration while allowing you the flexibility to work in the way that suits you best
- AI at your fingertips From day one, you'll have access to Claude by Anthropic and SIXTgpt, SIXT's own AI platform, to supercharge your work. We invest in every team member's AI journey: encouraging experimentation, building knowledge, and making sure you're ahead of the curve
- Time Off & Wellbeing Enjoy 28 vacation days per year, an additional day off on your birthday, one volunteer day annually, and private health insurance that also covers your spouse and children free of charge
- Everyday Benefits Receive a yearly Coverflex allowance and a daily meal allowance to make life a little easier every day
- Employee Perks Get exclusive rates on all SIXT services, with special discounts extended to your family and friends. Because great perks are even better when you can share them
## Additional Information
About us:
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 apply now!
Key Responsibilities
- Explore and implement AWS and big data technologies to build integrations for the Data Shop
- Partner with Data Engineers, BI Analysts, and Data Scientists to architect analytical solutions
- Design and implement multi-agent workflows to automate end-to-end data operations
- Drive adoption of LLM-augmented data capabilities including RAG pipelines and semantic search
- Maintain high standards of data protection and integrity when handling sensitive customer data
Requirements
- Bachelor's or Master's degree in Computer Science
- Data Engineering
- or a related field
Skills Required
PythonSQLAWSRedshiftSnowflakedbtApache AirflowGitHubCI/CDAgile methodologiesELT methodologiesData Lake architecturesData Warehouse architecturesRAG architecturesVector databasesGraph databasesCollaborationIntercultural collaborationWork ethicsIntegrityProblem solvingCommunicationMulti-agent orchestration
Benefits
- 28 vacation days per year
- Birthday off
- Volunteer day
- Private health insurance for spouse and children
- Coverflex allowance
- Daily meal allowance
- Exclusive rates on SIXT services
- Access to AI tools (Claude, SIXTgpt)
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