Data Engineer - BI (m/f/d)

SIXT • Lisboa

Publicado em 27/05/2026 às 15:27

Full-time Informática (Analise de Sistemas)
Salário €****
Descrição da Vaga

Company Description Job Description

Are you ready to take the wheel and drive success? As a full-time Data Engineer - BI (m/f/d) at SIXT, you’ll be at the heart of our Business & Data Analytics team, designing and maintaining the data architecture that powers self-service decision-making across the U.S. business. You’ll build reusable data models, optimize data infrastructure, and champion automation and AI-powered workflows to unlock real-time business insights. If you thrive in fast-paced environments, have advanced analytics engineering skills, and enjoy partnering with business leaders to drive strategic analysis, this is the role for you. Apply now!

YOUR ROLE AT SIXT

  • You support the business by designing and maintaining logical data architecture, including star schemas, cubes, and dimension tables
  • You manage the technical execution of Redshift migration, optimizing table structures and query performance for efficient analytics
  • You liaise with cross-functional teams to build reusable data models and ensure consistent KPI definitions
  • You maintain data quality and integrity across key business datasets, establishing testing, documentation, and governance standards
  • You receive and automate manual data processes by building pipelines and leveraging AI-powered coding assistants
  • You assist with deep-dive analyses, translating business questions into analytical frameworks and synthesizing data into actionable recommendations for senior management

YOUR SKILLS MATTER

  • Experience You have 2-5 years of experience in analytics engineering, data engineering, or a related role with demonstrated progression in scope and complexity
  • Education You have a bachelor’s degree in Math, Business, Data Analytics/Engineering, Computer Science, or a related field, and are authorized to work in Portugal
  • Technical Proficiency You possess SQL skills, experience with cloud data platforms (Redshift, BigQuery, Snowflake), and familiarity with BI/visualization tools (QuickSight, Tableau, Power BI)
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