Senior Data Engineer, Growth Data Engineering
Join GetYourGuide as a Senior Data Engineer to build trusted data foundations for customer growth in a hybrid work environment.
Posted by employer 1 day ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Deliver reliable, high-quality data solutions
- Translate business needs into delivered outcomes
- Lead system design for new capabilities
- Maintain a balance between operational responsibilities and new solutions
- Raise the engineering bar through code reviews and design input
Must have
- 5+ years in a relevant data role
- Expertise in SQL & Python
- Strong dbt proficiency
- Familiarity with Spark
- Excellent written and verbal communication skills in English
Nice to have
- Experience in growth and marketing adjacent domains
- Comfortable with Java/Scala
- Delivered AI capabilities
- Experience with data visualization tools
- Ability to manage stakeholders
Practical constraints
- Three days of in-office collaboration
- Two days of optional at-home focus time
AI in the day-to-day
Uses modern AI tools to boost productivity and accelerate solving business needs.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Engineer within GetYourGuide's Growth Data Engineering team, the individual is responsible for managing the end-to-end data lifecycle to support growth initiatives, including acquisition and retention strategies. Key skills include expertise in SQL and Python, along with experience in building data pipelines and models in environments like Snowflake and PostgreSQL. This position is suited for someone with over five years of relevant experience who can effectively communicate technical concepts to diverse stakeholders. The team emphasizes collaboration and continuous improvement, aiming to enhance data capabilities across the organization.
Joblaze insights
- Listed today — first seen on Joblaze October 3, 2026. Last confirmed on GetYourGuide's careers page October 3, 2026.
Quick facts
- Is the Senior Data Engineer, Growth Data Engineering role remote?
- It's hybrid — GetYourGuide expects some on-site time in Berlin, Germany.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Data Engineer, Growth Data Engineering role.
- Where is the role based?
- GetYourGuide is hiring for this position in Berlin, Germany.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Delta, Java, Jupyter, Looker, MySQL, PostgreSQL.
- What seniority level is this role?
- GetYourGuide targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer, Growth Data Engineering role at GetYourGuide.
From the original posting
Team mission
Within Growth Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the customer growth side of our marketplace. We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help GetYourGuide acquire and retain our customers. We achieve this through close partnership with Growth Analytics and Marketing teams, enabling teams to move faster with confidence.
Your mission
- Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention.
- Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities.
- Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production — architecture, testing, observability, performance, and cost efficiency — with a bias toward simplicity, reusability, and maintainability.
- Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements.
- Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability.
Your toolkit
- Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end — from source integration through to the models and metrics that downstream teams depend on
- Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences.
- Data engineering depth: Expertise in SQL & Python, building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta, Snowflake, PostgreSQL/MySQL) with strong focus on data quality, accuracy, and reliability. Strong dbt proficiency and familiarity with Spark.
- Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter).
- Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes.
- Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery.
- Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed.
- AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance
Extras that give you an edge
- Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retention, Channel Attribution, Brand, CRM) and thrive in complex, multi-stakeholder environments (Marketing, PMs, Analytics, Engineering).
- Software engineering craft: You are comfortable with Java/Scala, and you value clean code, solid testing habits, and pragmatic automation.
- AI & data intelligence impact: You've delivered AI capabilities — from LLM-powered discovery to automated insight generation, - including natural-language data access and semantic layer solution — that raises how quickly teams get to answers, and you can tell a durable use case from a demo.
And more…
#LI-Hybrid
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