Staff Platform Data Engineer (m/f/d) at SIXT

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, AWS, Terraform, Python, SQL, Redshift, Snowflake, dbt, Apache Airflow, RAG, LLMs, CI/CD, ELT, Distributed Systems, Data Architecture, Agile

Industry

Travel Arrangements

Description

Company 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 30 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 drive Innovation: 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 own Platform Foundations: Design, build, and operate the core infrastructure underpinning the Data Platform—Kubernetes workloads, AWS services, and reusable Terraform modules—with a focus on reliability, scalability, and developer experience You collaborate Cross-Functionally: 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 shape Platform Strategy: Contribute to the Data Platform vision and roadmap through your expertise, innovative ideas, and intellectual curiosity, and set technical direction and engineering standards that the wider team builds on You ensure Data Integrity: Demonstrate exceptional work ethics and integrity when handling sensitive customer data, maintaining the highest standards of data protection YOUR SKILLS MATTER Education & Professional Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field preferred. At least 6 years of professional experience as a data engineer, including a proven track record operating at a senior or staff level Platform & Infrastructure Expertise: Deep hands-on experience with Kubernetes, a broad range of AWS services, and building Terraform modules from scratch to enable infrastructure-as-code at scale Data Architecture Expertise: 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 Cloud Data Warehousing: Expertise with analytical cloud data warehouses (Redshift, Snowflake), data transformation using dbt, and orchestrating interdependent workflows with Apache Airflow AI Proficiency: Hands-on experience with AI coding assistants and agentic workflow automation. Ability to leverage LLMs with contextual data and solid understanding of RAG (Retrieval-Augmented Generation) systems Engineering Excellence: Foundation in engineering best practices throughout the development lifecycle, including agile methodologies, code reviews, source control (GitHub), CI/CD pipelines (Jenkins), testing, and operations. Deep understanding of data management fundamentals, distributed systems, and data storage/compute principles. Expert-level proficiency in Python and advanced SQL (required) WHAT WE OFFER A Global Tech Hub in Lisbon Join a thriving international tech community and work alongside engineers, product experts, and business teams who turn ideas into real impact. Our hubs at Factory Lisboa in Beato and ARTs Lisboa in Parque das Nações are where great tech gets built Learning & Knowledge Exchange Level up through regular events with internal and external speakers. We value curiosity, continuous learning, and open exchange – across teams, disciplines, and borders Flexible Work Setup Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration – work the way that brings out your best 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 Practical Everyday Benefits Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier SIXT 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! Legal Entity: Sixt Research Development Services, Lda.

Responsibilities

Drive innovation and design the core infrastructure for the SIXT Data Platform using AWS, Kubernetes, and Terraform. Collaborate cross-functionally to architect optimal data solutions for analytics, machine learning, and data-as-a-product use cases.