Senior Data Engineer, Growth Data Engineering Engineering Berlin, Germany

GetYourGuide Global Services GmbH; Berlin; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Growth budget for development

Hybrid work with in-office days

Transportation and wellness budget

Language reimbursement

Health and wellness benefits

Activity discounts

Job summary

GetYourGuide Global Services GmbH is seeking an experienced Data Engineer to join Growth Data Engineering in Berlin. You will own the data end-to-end, delivering reliable data solutions to inform growth decisions across acquisition, conversion, engagement, and retention.

You will partner with Marketing, Analytics, and Engineering to translate business needs into technical plans, drive architectural excellence, and mentor the team while balancing reliability with new delivery.

Qualifications

• 5+ years in a data role with end-to-end ownership from source to metrics.
• Excellent written and verbal English communication; able to explain technical concepts clearly to varied audiences.
• Deep data engineering experience: SQL and Python, building robust pipelines and models; operate data at scale in warehouses/lakes (Delta, Snowflake, PostgreSQL/MySQL).
• Strong dbt proficiency and familiarity with Spark.
• Experience with data visualization/enablement tools like Looker/Tableau and notebooks (Jupyter).
• Ability to prioritize, manage stakeholders, and translate business needs into technical plans and outcomes.
• Autonomy, ownership, and end-to-end delivery mindset; balance system health with new features; proactive collaboration.

Responsibilities

• Own data end-to-end: deliver reliable, high-quality data solutions for growth decisions across acquisition, conversion, engagement, and retention.
• Be a trusted partner with Marketing, Analytics, and Engineering to translate business needs into outcomes and promote self-serve data capabilities.
• Drive technical excellence: lead system design, evolve production stack, ensure simplicity, reusability, maintainability, and cost efficiency.
• Maintain a strong operational mindset with team SLOs guiding prioritization of improvements.
• Level up the team: enforce code reviews, provide design input, and influence standards and technology choices.

Skills

Data strategy

Communication

SQL

Python

Data warehouses

dbt

Spark

Looker/Tableau

Jupyter

Stakeholder management

Autonomy

AI-first mindset

Tools

Delta

Snowflake

PostgreSQL/MySQL

dbt

Spark

Job description

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

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.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development

• Work from anywhere in the world for 30 days per year

• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.

• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events

• Monthly transportation and fitness budget

• Discounts for you, your friends, and family on GetYourGuide activities

• Language reimbursement program

• Health and wellness benefits

And more

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.