Senior Backend Engineer, Data Products

GetYourGuide

Berlin, DE
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 04/06/2021
  • Website: getyourguide.com
  • Company Address: Erich-Weinert-Strabe 145, Berlin, 10409

About GetYourGuide

GetYourGuide is the place to book the best experiences in destinations across the globe. Since 2009, we’ve made it easy for millions of travelers to find unique and unmissable things to do wherever their travels take them. By connecting people to activities and attractions they love, we create trips full of meaningful memories. All of this is brought together in one easy-to-use website and app that makes planning and booking simple so travelers can focus on what counts: having an incredible time.

Job Description

As a Senior Backend Engineer, you'll join our growing Data Products team and have a chance to make a large impact, working on core products to optimize business metrics.  As an embedded member of our Growth teams, you will be a trusted partner to work on the data-powered challenges. You'll own your projects end-to-end and you'll be working on the architecture, algorithms, and putting Machine Learning solutions into production. 

Team Mission 

The Data Products team is composed of Data Scientists and Engineers and is responsible for the development and operations of the algorithms powering our marketplace. We aim to be at the cutting edge of data science and engineering and partner with business and product stakeholders to add intelligence to our products and platforms. We have touchpoints across the business and aim to develop end-to-end solutions.

Responsibilities:

  • You'll be working on data science products that benefit multiple business areas within our Marketing Technology and Growth group, ranging from Customer Engagement, Pricing and Paid Search Marketing (SEM)
  • You'll be partnering/collaborating with Data Science experts to bring advanced algorithms into production
  • You'll design and implement systems for scalable and more efficient machine learning solutions that are compatible with other services and maintainable by other teams

Your Profile:

  • Software Engineering: You have strong fundamentals in Computer Science and a polyglot mind-set. You have experience in Java and Python, with an enthusiasm and ability to migrate between various programming languages. A passion for delivering clean code and continuously learning about new tools, languages, and practices
  • Data Science: You have experience working with Data Scientists and genuine interest in Artificial Intelligence and Machine Learning
  • Business Experience: Strong ability to prioritize and manage stakeholders, as well as good communication and collaboration skills. 
  • Vision: You are able to turn ideas into reliable and maintainable code. A track record of result-driven work gives evidence of this. Experience on how to operate at scale and have a cloud DevOps / infrastructure mindset (Kubernetes)
  • Autonomy: Ability to work autonomously and a proactive, ownership and customer-oriented mindset.
  • Teamwork: A positive, pro-active team-oriented mindset, and a passion for mentoring and sharing knowledge

Nice to have:

  • Prior experience with Apache Spark and/or Apache Airflow
  • Prior experience working in the e-commerce or travel space
  • Prior experience in scale-up environments and various technologies
  • A genuine interest and understanding of Business- and Product-related challenges
  • Prior experience in a fast-paced startup environment where feedback and collaboration are key 

We Offer:

  • A modern infrastructure (AWS, Kubernetes, Istio, Kafka) and a good DevOps mentality (you build it you own it)
  • Solid Engineering  and Data Science principles
  • Smart and engaged co-workers - Take a look at our team video
  • An English-speaking office with people from 60+ nationalities
  • Virtual stock options - be part of our success story
  • Relocation Assistance

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.