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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data models using SQL and dbt, while ensuring data quality through automated testing and monitoring. Proficient in building data pipelines and collaborating with stakeholders to deliver effective data solutions.
Highest-signal resume keywords
SQLDbtData Pipeline DevelopmentData Quality PrinciplesPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData TransformationAutomated TestingData ValidationData IntegrationPerformance OptimizationAnalytics-Ready DatasetsBusiness Metrics DefinitionCloud-Based SolutionsAPI Integration
Soft Skills
AnalyticalDetail-OrientedOwnershipCommunicationCollaboration
Tools & Technologies
Amazon RedshiftSnowflakeBigQueryAI-Powered Tools
Industry Keywords
Data WarehouseData QualityBusiness IntelligenceData Analytics
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt
- Develop and maintain data transformation workflows that turn raw data into structured, analytics-ready datasets
- Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems
- Implement automated tests, validations, monitoring, and proactive issue resolution for data quality and reliability
- Document data models, pipelines, business definitions, and transformation logic
- Define, implement, and standardize key business metrics such as revenue, bookings, and churn
- Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable, scalable data solutions
- Optimize SQL queries, dbt models, and data pipelines for performance and scalability
- Explore AI-powered tools to improve workflows and prepare the data foundation for AI-driven analytics
- Report directly to the Team Lead, Business Intelligence
Requirements
What you’ll need- Strong SQL skills and hands-on experience designing, building, and maintaining scalable data models in a modern data warehouse
- Practical experience using dbt to develop, test, document, and maintain data transformation workflows
- Proficiency in Python
- Experience building, maintaining, and troubleshooting data pipelines, including integrations with APIs, databases, and third-party systems
- Experience with modern data warehouse architectures and cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery
- Strong understanding of data quality principles, automated testing, validation, and monitoring
- Ability to translate business requirements into reliable data models and clearly defined metrics
- Analytical, detail-oriented, and comfortable taking ownership of technical challenges
- Ability to communicate technical concepts clearly and collaborate with technical and non-technical stakeholders
- Curiosity about AI-powered development tools and automation opportunities
- Application must be submitted in English
Benefits
Comp & perks- Flexibility policy; average is 30 days taken with no hard cap on vacation days
- Temporary work from abroad: EU-based employees can work outside their country of residence for up to 180 days per year
- All required hardware, including a personal MacBook
- Deutschland ticket or NAVIT mobility budget for employees located in Hamburg or Berlin
- Subsidised Urban Sports Club or ClassPass membership based on location
- Access to co-working spaces in Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York