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Analytics Engineer(m/w/x)
Profiling and improving core datasets for furnished rental platform. Strong SQL and Python skills required. Company pension with 20% employer contribution.
Requirements
- 3+ years analytics engineering, BI engineering, or similar role experience
- Strong SQL (complex joins, window functions, performance-aware queries)
- Strong Python (pandas for validation, transformation, analysis)
- Solid understanding of analytics engineering concepts
- Experience building BI-ready data models (dbt or similar preferred)
- Problem-solving skills and comfort with ambiguity
- High standards for data correctness, clarity, documentation
Tasks
- Profile and improve core datasets
- Identify data inconsistencies, gaps, and root causes
- Partner with Engineering and business teams
- Ensure data quality and reliability
- Define and document a centralized metrics catalog
- Maintain a centralized metrics catalog
- Collaborate with Finance, Operations, and Product
- Translate business processes into scalable data models
- Build clean, well-documented data models in dbt
- Build governance-ready data models in dbt
- Enable self-service BI
- Ensure clear data lineage
- Design curated datasets for AI querying
- Include machine-readable metric definitions
- Include clear assumptions for AI querying
- Include guardrails for AI querying
- Enable safe and reliable AI querying
- Prototype AI-assisted data access interfaces
- Implement AI-assisted data access interfaces
- Leverage LLM APIs and internal tools
- Allow non-technical users to explore data
- Enable data exploration via natural language
- Continuously validate AI outputs
- Refine guardrails for AI insights
- Improve usability of AI insights
- Build business confidence in BI insights
- Build business confidence in AI-driven insights
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- pandas
- dbt
Benefits
Flexible Working
- Flexible and family-friendly hours
- Remote work possible
Retirement Plans
- Company pension plan with 20% employer contribution
Learning & Development
- Personal and professional development support
- Individual training programs
- Workshops
Additional Allowances
- Participation in trade fairs and conferences
Ergonomic Workplace
- Ergonomic workstations
- Detox room
Childcare
- Playroom
Other Benefits
- Roof terrace
Snacks & Drinks
- Free fruit and drinks
Team Events
- Annual summer/winter party
- Regular after-work gatherings
- Table tennis
Healthcare & Fitness
- Office yoga
Informal Culture
- Table soccer
Corporate Discounts
- Discounted Urban Sports Club membership
- Discounts at FutureBens
Public Transport Subsidies
- Yearly travel ticket
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Analytics Engineer(m/w/x)
Profiling and improving core datasets for furnished rental platform. Strong SQL and Python skills required. Company pension with 20% employer contribution.
Requirements
- 3+ years analytics engineering, BI engineering, or similar role experience
- Strong SQL (complex joins, window functions, performance-aware queries)
- Strong Python (pandas for validation, transformation, analysis)
- Solid understanding of analytics engineering concepts
- Experience building BI-ready data models (dbt or similar preferred)
- Problem-solving skills and comfort with ambiguity
- High standards for data correctness, clarity, documentation
Tasks
- Profile and improve core datasets
- Identify data inconsistencies, gaps, and root causes
- Partner with Engineering and business teams
- Ensure data quality and reliability
- Define and document a centralized metrics catalog
- Maintain a centralized metrics catalog
- Collaborate with Finance, Operations, and Product
- Translate business processes into scalable data models
- Build clean, well-documented data models in dbt
- Build governance-ready data models in dbt
- Enable self-service BI
- Ensure clear data lineage
- Design curated datasets for AI querying
- Include machine-readable metric definitions
- Include clear assumptions for AI querying
- Include guardrails for AI querying
- Enable safe and reliable AI querying
- Prototype AI-assisted data access interfaces
- Implement AI-assisted data access interfaces
- Leverage LLM APIs and internal tools
- Allow non-technical users to explore data
- Enable data exploration via natural language
- Continuously validate AI outputs
- Refine guardrails for AI insights
- Improve usability of AI insights
- Build business confidence in BI insights
- Build business confidence in AI-driven insights
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- pandas
- dbt
Benefits
Flexible Working
- Flexible and family-friendly hours
- Remote work possible
Retirement Plans
- Company pension plan with 20% employer contribution
Learning & Development
- Personal and professional development support
- Individual training programs
- Workshops
Additional Allowances
- Participation in trade fairs and conferences
Ergonomic Workplace
- Ergonomic workstations
- Detox room
Childcare
- Playroom
Other Benefits
- Roof terrace
Snacks & Drinks
- Free fruit and drinks
Team Events
- Annual summer/winter party
- Regular after-work gatherings
- Table tennis
Healthcare & Fitness
- Office yoga
Informal Culture
- Table soccer
Corporate Discounts
- Discounted Urban Sports Club membership
- Discounts at FutureBens
Public Transport Subsidies
- Yearly travel ticket
About the Company
Wunderflats
Industry
RealEstate
Description
Wunderflats is Germany's market leader for flexible furnished housing, connecting seekers and providers of medium-term rentals.
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