Senior Data Engineer – Core Data - Data Intelligence

Düsseldorf

Apply now Apply later

When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren’t afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!

Join us in making a difference

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!

Get an inside look at our tech: 

 

How you’ll make an impact: 

  • 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 you'll need to thrive:    

  • 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)

Stand out with: 

  • 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.

Worried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!

 

Recruiting process for this role:

  • Case Study
  • Case Study assessment
  • Technical Interview
  • Final interview with Stakeholders and Lead

 

What you can look forward to: 

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.

 

Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at joinus@trivago.com. Join us in our mission to make a positive impact on global travel, we look forward to your application!

#LI-Hybrid

Apply now Apply later
  • Share this job via
  • 𝕏
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Airflow Big Data BigQuery Data management DataOps Data pipelines Data quality Engineering GCP Grafana Java Kafka Looker Machine Learning Pipelines Python SQL Streaming

Perks/benefits: Career development Conferences Fitness / gym Flex hours Flex vacation Relocation support Startup environment Team events Travel

Region: Europe
Country: Germany

More jobs like this