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Data Engineer, Growth Data Engineering(m/w/x)
Developing end-to-end data solutions for decision-making at a global travel experiences provider. 3+ years in a relevant data role with hands-on data engineering technologies experience required. Annual personal growth budget, 30 days work from anywhere.
Requirements
- 3+ years relevant data role experience
- Hands-on experience data engineering technologies
- Hands-on experience analytics tooling
- Excellent written communication skills in English
- Excellent verbal communication skills in English
- Ability to explain technical concepts clearly
- Expertise in SQL and Python
- Experience building robust data pipelines
- Experience building robust data models
- Experience operating data at scale in warehouses/lakes
- Strong focus on data quality, accuracy, reliability
- Strong DBT proficiency
- Familiarity with Spark
- Solid understanding of data visualization
- Solid understanding of enablement through tools
- Ability to prioritize effectively
- Stakeholder management skills
- Ability to translate business needs into technical plans
- Ability to deliver outcomes
- Proactive attitude
- Customer-oriented approach
- Comfort owning projects end-to-end
- Ability to balance system health with new delivery
- Collaborative mindset
- Mentoring-minded approach
- Enjoyment of sharing knowledge
- Ability to raise standards through reviews
- Desire to help team succeed
- AI-first mindset
- Ability to use modern AI tools for productivity
- Ability to use modern AI tools for solving business needs
- Maintenance of strong quality, security, governance standards
- Experience delivering data products in growth/marketing domains
- Ability to thrive in complex, multi-stakeholder environments
- Experience shipping data solutions improving acquisition/retention
- Ability to navigate multiple stakeholders
- Strong CS fundamentals
- Polyglot mindset
- Comfort with Java/Scala
- Value for clean code
- Solid testing habits
- Pragmatic automation
Tasks
- Build end-to-end data solutions independently.
- Deliver reliable, high-quality datasets.
- Deliver reliable, high-quality data pipelines.
- Support traveler-facing decision-making.
- Partner with Product and Data teams.
- Translate business needs into outcomes.
- Drive adoption of self-serve data capabilities.
- Apply best practices in code quality.
- Apply best practices in data modeling.
- Apply best practices in testing.
- Apply best practices in monitoring and alerting.
- Contribute to operational support.
- Improve system reliability over time.
- Refactor and simplify existing pipelines.
- Refactor and simplify existing data models.
- Fix data quality issues at the root cause.
- Improve performance and reduce costs.
- Participate in team planning and roadmap.
- Conduct code reviews.
- Share knowledge with the team.
- Balance operational tasks with new solutions.
- Prioritize improvements using team SLOs.
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Delta
- Snowflake
- PostgreSQL
- MySQL
- DBT
- Spark
- Looker
- Tableau
- Jupyter
- Java
- Scala
Benefits
Flexible Working
- Hybrid work model
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Workation & Sabbatical
- Work from anywhere (30 days/year)
Team Events
- Quarterly team events
- Yearly company-wide events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
Corporate Discounts
- Discounts on GetYourGuide activities
Learning & Development
- Language reimbursement program
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Data Engineer, Growth Data Engineering(m/w/x)
Developing end-to-end data solutions for decision-making at a global travel experiences provider. 3+ years in a relevant data role with hands-on data engineering technologies experience required. Annual personal growth budget, 30 days work from anywhere.
Requirements
- 3+ years relevant data role experience
- Hands-on experience data engineering technologies
- Hands-on experience analytics tooling
- Excellent written communication skills in English
- Excellent verbal communication skills in English
- Ability to explain technical concepts clearly
- Expertise in SQL and Python
- Experience building robust data pipelines
- Experience building robust data models
- Experience operating data at scale in warehouses/lakes
- Strong focus on data quality, accuracy, reliability
- Strong DBT proficiency
- Familiarity with Spark
- Solid understanding of data visualization
- Solid understanding of enablement through tools
- Ability to prioritize effectively
- Stakeholder management skills
- Ability to translate business needs into technical plans
- Ability to deliver outcomes
- Proactive attitude
- Customer-oriented approach
- Comfort owning projects end-to-end
- Ability to balance system health with new delivery
- Collaborative mindset
- Mentoring-minded approach
- Enjoyment of sharing knowledge
- Ability to raise standards through reviews
- Desire to help team succeed
- AI-first mindset
- Ability to use modern AI tools for productivity
- Ability to use modern AI tools for solving business needs
- Maintenance of strong quality, security, governance standards
- Experience delivering data products in growth/marketing domains
- Ability to thrive in complex, multi-stakeholder environments
- Experience shipping data solutions improving acquisition/retention
- Ability to navigate multiple stakeholders
- Strong CS fundamentals
- Polyglot mindset
- Comfort with Java/Scala
- Value for clean code
- Solid testing habits
- Pragmatic automation
Tasks
- Build end-to-end data solutions independently.
- Deliver reliable, high-quality datasets.
- Deliver reliable, high-quality data pipelines.
- Support traveler-facing decision-making.
- Partner with Product and Data teams.
- Translate business needs into outcomes.
- Drive adoption of self-serve data capabilities.
- Apply best practices in code quality.
- Apply best practices in data modeling.
- Apply best practices in testing.
- Apply best practices in monitoring and alerting.
- Contribute to operational support.
- Improve system reliability over time.
- Refactor and simplify existing pipelines.
- Refactor and simplify existing data models.
- Fix data quality issues at the root cause.
- Improve performance and reduce costs.
- Participate in team planning and roadmap.
- Conduct code reviews.
- Share knowledge with the team.
- Balance operational tasks with new solutions.
- Prioritize improvements using team SLOs.
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- Delta
- Snowflake
- PostgreSQL
- MySQL
- DBT
- Spark
- Looker
- Tableau
- Jupyter
- Java
- Scala
Benefits
Flexible Working
- Hybrid work model
Additional Allowances
- Annual personal growth budget
Mentorship & Coaching
- Mentorship programs
Workation & Sabbatical
- Work from anywhere (30 days/year)
Team Events
- Quarterly team events
- Yearly company-wide events
Public Transport Subsidies
- Monthly transportation budget
Healthcare & Fitness
- Monthly fitness budget
Corporate Discounts
- Discounts on GetYourGuide activities
Learning & Development
- Language reimbursement program
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
GetYourGuide
Industry
Tourism
Description
GetYourGuide is the globally leading marketplace for unforgettable travel experiences, helping travelers discover the best things to do.
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