SIXT
mobility service provider
DataEngineerBI(m/f/d)
“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
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