SIXT
mobility service provider
DataEngineer-BI(m/f/d)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer - BI (m/f/d) at SIXT. Skills: Data Engineering, BI, SQL, Cloud Data Platforms. designing and maintaining data architecture. build reusable data models”
What You'll Achieve.
drive success; powers self-service decision-making; unlock real-time business insights; drive strategic analysis; efficient analytics; actionable recommendations
Industry & Context.
analytical skills; translating business questions into analytical frameworks; synthesizing data into actionable recommendations
authorized to work in Portugal
What They're Looking For.
Must Have
2-5 years of experience in analytics engineering, data engineering, or a related role, bachelor’s degree in Math, Business, Data Analytics/Engineering, Computer Science, or a related field, authorized to work in Portugal, SQL skills, experience with cloud data platforms (Redshift, BigQuery, Snowflake), familiarity with BI/visualization tools (QuickSight, Tableau, Power BI), communication skills, business literacy, ability to present complex data architecture decisions in English, automation-minded, AI-fluent, able to manage your own priorities, self-directed approach, familiar with data modeling concepts, prompt engineering
Nice to Have
experience with Redshift migration, experience with QuickSight, experience with Tableau, experience with Power BI
What You'll Do.
designing and maintaining data architecture
build reusable data models
optimize data infrastructure
leverage AI-powered workflows
unlock real-time business insights
designing and maintaining logical data architecture
manage technical execution of Redshift migration
optimize table structures
optimize query performance
build reusable data models
ensure consistent KPI definitions
maintain data quality
maintain data integrity
establish testing standards
establish documentation standards
establish governance standards
automate manual data processes
leverage AI-powered coding assistants
assist with deep-dive analyses
translate business questions
synthesize data into recommendations
How You'll Work.
Team & Collaboration
partnering with business leaders; liaise with cross-functional teams; work alongside engineers; work alongside product experts; work alongside business teams
Communication Scope
communication skills; business literacy; present complex data architecture decisions
Process & Methodology
manage your own priorities
Full 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) * Soft Skills Yo
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