Senior Data Engineer, Marketing & Marketplace Intelligence

About this job

Intelligence

We are looking for a Senior Data Engineer, Marketing & Marketplace Intelligence, to help us build a world-class experimentation platform (A/B testing) and enable
thousands of experiments for our product and marketing teams. In this role, you will enhance our attribution system and provide marketers with tools to improve efficiency and quality.
You will collaborate closely with our product, marketing, finance, analytics, and data science teams, utilizing top-notch analytics tools, ensuring data quality, promoting data
discoverability, and working on reporting solutions, data pipelines, data storage, and more.

About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding
in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel
experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team mission

Our mission is to empower the marketplace & marketing departments at GetYourGuide to make data-driven decisions by delivering data and reporting solutions and continuously improve our
AB Experimentation and Attribution platforms.

You will:

  • Design and implement features in our A/B experimentation platform using scalable and efficient data engineering and software engineering practices.
  • Increase the number of experiments run by product and marketing teams, allowing faster learning about new features and reducing the time needed to investigate experimentation
    results.
  • Contribute to and scale our marketing attribution system, improving user efficiency and data quality through tools and processes.
  • Enhance data discoverability, reduce the time required to answer questions, and help users generate more impact with data using AI and advanced solutions.
  • Partner with product, marketing, engineering, and data teams to understand how to improve the platform and leverage it further.
  • Mentor and develop team members and peers.

Who you are:

  • Communication: Excellent written and verbal communication skills in English.
  • 5+ years of relevant experience in a data role (BI, Data Engineering, and related areas), including data warehousing and analytics tools, techniques, and
    technologies.
  • Data Engineering: Expertise with SQL & OLAP, developing data pipelines and data models, and experience organizing and querying data at scale in data warehouses (such
    as Delta, Snowflake, PostgreSQL, MySQL) while ensuring data quality, accuracy, and reliability. Familiarity with tools like Hadoop or Spark.
  • Reporting & Insights: Knowledgeable in data visualization concepts using business intelligence reporting tools (Looker, Tableau, Jupyter Notebooks).
  • Software Engineering: Strong fundamentals in Computer Science with a polyglot mindset. Proficient in Python (and comfortable with Java or Scala) and capable of
    working with various programming languages. Passionate about delivering clean code and exploring new tools, languages, and practices.
  • Business Experience: Ability to prioritize and manage stakeholders; known for good communication and collaboration skills.
  • Autonomy: Autonomous, proactive, and customer-oriented mindset. Takes ownership of projects.
  • Teamwork: Believes that a team is more than the sum of its members. Finds mentoring and sharing knowledge fulfilling.

Nice to have:

  • A/B Experimentation: In previous roles, you either worked on developing or worked directly with an A/B platform. You understand concepts like assignment, exposure,
    sample size, and bias. You are also comfortable discussing and rationalizing these concepts with non-technical people.
  • Marketing Attribution: You are familiar with marketing attribution models and concepts and have worked with multi-channel data sources and processes.
  • 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 a start-up environment.

How we set you up for success:

  • Invest in your development with an annual personal growth budget
  • Become a part of our success with virtual stock options
  • Enjoy flexibility with a hybrid work-from-home and telecommuting policy
  • Save on transportation costs with discounted public transportation tickets
  • Support your loved ones with generous maternity and paternity leave policies

And more…

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you
to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have
any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunity employer

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

#LI-Hybrid

Focus on your financial future
  • Attractive salary
  • Attractive company pension scheme
  • Virtual Share program
  • Public transport benefit
  • Referral bonuses for bringing new talent on board
  • Corporate discount program on exclusive and attractive services

Finance
Focus on your financial future

  • Attractive salary
  • Attractive company pension scheme
  • Virtual Share program
  • Public transport benefit
  • Referral bonuses for bringing new talent on board
  • Corporate discount program on exclusive and attractive services

Kommentar hinterlassen

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert