Job Description

As a Data Engineer, you'll work collaboratively with data engineers, data scientists and analysts across various business initiatives, leveraging massive datasets pivotal to the company's operations. Your efforts will support multiple teams in reporting, bidding, and experimentation of data pipelines. This role requires effective communication with software engineers responsible for generating data and a deep passion for Data Engineering and SQL. We seek candidates with a robust engineering background, a technical mindset, and a keen interest in the business implications of analytics and DataOps. If you enjoy exploring data tools and contributing to the success of initiatives, we encourage you to apply!

What you'll do

• Design, build, and own our core data tables that enable high impact data driven decision making by ensuring the accuracy and completeness of our core data tables
• Implement and optimize scalable data pipelines while meeting the needs of data consumers
• Collaborate with software engineers, data engineers, data scientists, and data analysts to deliver high impact data projects
• Automate monitoring of data pipelines and ensure data quality and consistency by implementing data validation checks, data profiling, and data cleansing processes
• Experiment with new data technologies while keeping business priorities in mind

What we expect from you

• 4+ years' work experience in data engineering, writing clean maintainable code with a software engineering mindset
• Excellent SQL skills with a highly analytical mind; you can read, understand, and improve other people’s code
• Solid experience with several programming languages in a data-related context e.g., Python or Java
• Familiarity with data workflow management systems e.g. Apache Airflow
• Hands-on experience with Big data cloud technologies e.g. GCP, BigQuery, etc.
• A product mindset to understand business needs and develop scalable engineering solutions
• Excellent communication skills and confidence in presenting ideas and findings to stakeholders
• Fluency in English (our company language)

Nice to have:

• Familiarity with data quality and data management
• knowledge of web technologies and streaming data technologies like Protobuf, Kafka
• Familiarity with BI and monitoring tools e.g. Looker, Grafana, etc.

What we offer

As you grow, so do we.

This is why at trivago, we prioritize your development, offer personalized coaching through Likeminded, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.

Moving to join us?

No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and company-wide events to build experiences together.

Life happens.

We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heynanny platform for personalized nanny assistance, and an on-campus kids room.

Enjoy your office days.

Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, stay healthy with our on-site gym and sports classes, and enjoy the comfort of ergonomic desks and focused work areas.