Job Description

We are looking for a Data Engineer, Business Intelligence to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on analytics tools, data quality, reporting solutions, data pipelines, data modeling and more.

The Data Platform team is central to our data-driven strategy, designing and developing our data ecosystem, data process processes and analytics capabilities. We work on problems such as product events tracking, AB experiments framework and large-scale applied machine learning. The team is also responsible for making the vast amount of data accessible, reliable and efficient to query, so we are empowered to make the best data-driven decisions. We work with a wide variety of tools and technologies, from Spark to Looker, making this team a great place to learn new skills.

What you'll do

• Work closely with different teams and business partners in the organization, build and foster strong relationships
• Develop new data pipelines and work with data analysts, data scientists, engineers and product managers to add new data sources or new views in our data
• Implement and maintain data models using analytics tools in order to allow our business users access the data directly and drive decisions
• Design and implement metrics, dashboards and reports
• Ensure data quality, accuracy and reliability
• Empower and train our data users to use data more efficiently, by extending our self serve data services and documentation
• Serve as a liaison between the product teams, analytics team and the data engineering team

What we expect from you

• 2-3 years of relevant experience in a business intelligence role, including data warehousing and analytics tools, techniques and technologies
• Experience in Data Warehousing solutions (Snowflake, Delta, PostgreSQL, BigQuery)
• Expert knowledge with SQL & OLAP
• Experience with Python or Scala
• Advanced knowledge of data warehousing concepts and schema optimization based on usage patterns
• Knowledge and direct experience in data visualization concepts using business intelligence reporting tools (Looker, Tableau, Power BI, Jupyter notebooks)
• Experience in developing cross-platform ETL processes, maintaining systems for tracking data quality and consistency and using databases in a business environment with large-scale, complex data sets
• Excellent written and verbal communication skills in English

Nice to have:

• Experience with big data technologies (e.g. Spark, Kafka, Hive, Hadoop)
• Experience with data manipulation tools and libraries (e.g. PySpark, Pandas, R)
• Prior experience in start-up environment

What we offer

GetYourGuide provides a range of benefits, here’s an overview of what you can expect.

• Monthly allowance for transport (Deutschland ticket)
• Bonuses for successful employee referrals
• Company contributions to personal pension plans
• 40 days per year for telecommuting
• 20% discount for friends & family on GetYourGuide activities
• 25 vacation days; +1 for each additional year up to a cap of 28
• Discounted Urban Sports Club membership
• Mental wellbeing services with nilo.health
• In-house gym and fitness classes
• Annual flu shots
• 1,000€ yearly for courses and training
• Language course reimbursement
• Regular meetups, workshops, and hackdays
• Mentorship program
• Access to AI tools like ChatGPT and GitHub Copilot
• 10 days of paid educational leave every 2 years
• Weekly catered brunches, lunches, and snacks
• Extra days off when holidays land on weekends
• Annual GetYourGuide Summits. See what one looks like.
• Partner discounts including FutureBens, Plant Club, and more