Statista
(Senior) Data Engineer - Tracking Infrastructure (m/w/x)
Vollzeitmit HomeofficeSenior
Hamburg, Berlin
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GEGetYourGuide
Senior Data Engineer, Growth Data Engineering (m/w/x)
Vollzeitmit HomeofficeManagement
Nejo KI-Zusammenfassung
Building data foundations for customer growth, ingesting and integrating internal/external datasets. 5+ years in data roles, SQL/Python expertise required. Hybrid work, annual personal growth budget.
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Anforderungen
- 5+ years in relevant data role, end-to-end data domain ownership
- Excellent written and verbal English communication
- Expertise in SQL & Python, data pipelines, data models, operating data at scale
- Strong dbt proficiency and familiarity with Spark
- Solid understanding of data visualization tools (Looker/Tableau)
- Familiarity with notebooks (e.g., Jupyter)
- Effective prioritization and stakeholder management
- Translate business needs into technical plans
- Proactive and customer-oriented ownership
- Balancing system health with new delivery
- Collaborative and mentoring-minded
- Knowledge sharing and raising standards
- Use of modern AI tools for productivity
- Maintaining standards for quality, security, governance with AI tools
- Delivered data products in growth/marketing domains
- Thrive in complex, multi-stakeholder environments
- Comfortable with Java/Scala
- Value clean code, solid testing, pragmatic automation
- Delivered AI capabilities (LLM-powered discovery, automated insights)
- Natural-language data access and semantic layer solutions
- Identify durable AI use cases
- Do not include picture with application
- Do not include age with application
Aufgaben
- Build trusted data foundations for customer growth
- Develop self-serve capabilities for customer growth
- Ingest critical internal and external datasets
- Integrate critical internal and external datasets
- Structure critical internal and external datasets
- Create reliable tables, metrics, and data products
- Acquire and retain customers
- Partner closely with Growth Analytics and Marketing teams
- Deliver reliable, high-quality data solutions
- Enable growth decision-making across acquisition, conversion, engagement, and retention
- Translate business needs into delivered outcomes
- Drive adoption of trusted, self-serve data capabilities
- Lead system design for new capabilities
- Evolve existing production systems
- Maintain simplicity, reusability, and maintainability in the stack
- Balance operational responsibilities with building new solutions
- Prioritize improvements using team SLOs
- Raise the engineering bar through code reviews
- Provide design input to the team
- Offer hands-on support to the team
- Influence standards and technology choices
- Use modern AI tools to boost productivity
- Accelerate solving business needs with AI tools
- Maintain quality, security, and governance standards for AI tools
- Deliver data products in growth and marketing domains
- Thrive in complex, multi-stakeholder environments
- Deliver AI capabilities, including LLM-powered discovery
- Deliver automated insight generation
- Implement natural-language data access solutions
- Implement semantic layer solutions
Berufserfahrung
5 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
SQLPythonDeltaSnowflakePostgreSQLMySQLdbtSparkLookerTableauJupyterJavaScalaAI toolsLLM
Benefits
Flexibles Arbeiten
- Hybrid working approach
- Work from anywhere (30 days/year)
Sonstige Zulagen
- Annual personal growth budget
Mentoring & Coaching
- Mentorship programs
Team Events & Ausflüge
- Quarterly team events
- Yearly company-wide events
Öffi Tickets
- Monthly transportation budget
Gesundheits- & Fitnessangebote
- Monthly fitness budget
- Health and wellness benefits
Mitarbeiterrabatte
- Discounts on activities
Weiterbildungsangebote
- Language reimbursement program
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GE
TourismBerlin
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