Data Engineer II (Viator)

Job description

Viator is a Tripadvisor company that makes it easy to find and book something you'll love to do. With an industry leading selection of high-quality experiences, Viator gives millions of travellers a month something new to discover, both near and far from home.

We believe that we are better together, and at Viator we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Viator, we want you to bring your unique identities, abilities and experiences, so we can collectively revolutionise travel and together find the good out there.

Viator’s MarTech Engineering & Operations team creates and maintains the tooling used to bring millions of visitors to every month. The team owns all Marketing data from end-to-end, including data ingestion, transformation, visualisation, and data architecture to ensure best-in-class operational reliability and modularity. The team is looking for a data engineer to support Viator’s growing traffic and deliver start-of-the-art MarTech solutions. This is a flexible, hybrid role based out of our Oxford, London or Lisbon office.

What you'll do:

  • Implement modern, data pipelines for marketing data.
  • Monitor data pipelines for accuracy, missing data, enhancements, changes, SLA, and billing volumes to ensure all data is captured and processed accurately and when needed.
  • Work with cross-functional stakeholders in defining and documenting requirements for building high quality and impactful data products.
  • Reconcile data issues and alerts between various systems, finding opportunities to innovate and drive improvements.
  • Code, test, and document new or modified data systems to create robust and scalable applications for reporting and data analytics.
  • Contribute to designing optimised data solutions and data product.
  • Own and document data pipelines, monitoring, data accuracy, SLAs and data lineage.

What you'll need:

  • Bachelor of Science degree in Computer Science, Information Systems, or related field.
  • 3+ years of Data Engineering experience focused on Data Modelling and developing modern data pipelines and applications for reporting and analytics.
  • Strong Python, Java or Scala Experience.
  • Strong experience in SQL; can write complex, performant, fail-safe queries.
  • Experienced with setting up end to end data pipelines in an enterprise environment.
  • Hands-on with Cloud computing technology like Google Cloud, AWS, etc.
  • Experience in Looker, Tableau, or similar visualization / business intelligence platform.
  • Ability to effectively operate both independently and as part of a team.
  • Self-motivated with strong problem-solving and self-learning skills.


  • MarTech Knowledge is a plus.
    • Experience in working with marketing data is a huge plus.
    • Understanding of CDP/CRM tools, link tracking, pixels/tags, Google Analytics, and marketing attribution.
  • BigQuery or Google Cloud Experience.
  • Exposure to DBT.
  • Exposure to Apache Airflow or other DAG frameworks is nice to have.
  • Experience with technologies like Snowflake, Postgres, etc.
  • Experience with developing solutions on cloud computing services and infrastructure with AWS (S3, Athena, Glue, Lambda, EMR, Kinesis).
  • Expertise designing and implementing data pipelines using modern data engineering approach and tools: Spark, PySpark, Java, Docker, cloud native DWH (Snowflake, Redshift), Kafka/Confluence etc.
  • Experience with CI/CD processes and platforms.
  • E-commerce, or startup experience is a plus.

What You’ll Get

  • Highly competitive salary along with the following:
  • Annual performance related bonus
  • Generous stock (RSU) award upon joining, with additional awards annually
  • Regular salary reviews and excellent career growth opportunities
  • Very flexible working hours
  • Free meals in the office
  • Full family private healthcare and dental
  • Excellent contributory pension
  • Critical illness and full life cover
  • Standard 28 days paid holiday (not including bank holidays), increasing with tenure
  • £1050 annual stipend for costs outside the office such as gym membership or home office set up
  • “Summer Fridays” scheme allowing extra days off during the summer


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