Viator is a Tripadvisor company that makes it easy to find & 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 & far from home.

We believe that we are better together, & 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 & experiences, so we can collectively revolutionise travel & together find the good out there.

Viators MarTech Engineering & Operations team creates & maintains the tooling used to bring millions of visitors to viator.com every month. The team owns all Marketing data from end-to-end, including data ingestion, transformation, visualisation, & data architecture to ensure best-in-class operational reliability & modularity. The team is looking for a data engineer to support Viators growing traffic & 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, & billing volumes to ensure all data is captured & processed accurately & when needed.
• Work with cross-functional stakeholders in defining & documenting requirements for building high quality & impactful data products.
• Reconcile data issues & alerts between various systems, finding opportunities to innovate & drive improvements.
• Code, test, & document new or modified data systems to create robust & scalable applications for reporting & data analytics.
• Contribute to designing optimised data solutions & data product.
• Own & document data pipelines, monitoring, data accuracy, SLAs & 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 & developing modern data pipelines & applications for reporting & 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 & as part of a team.
• Self-motivated with strong problem-solving & self-learning skills.

Bonus:

• 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, & 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 & infrastructure with AWS (S3, Athena, Glue, Lambda, EMR, Kinesis).
• Expertise designing & implementing data pipelines using modern data engineering approach & tools: Spark, PySpark, Java, Docker, cloud native DWH (Snowflake, Redshift), Kafka/Confluence etc.
• Experience with CI/CD processes & platforms.
• E-commerce, or startup experience is a plus.

What youll 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 & excellent career growth opportunities
• Very flexible working hours
• Free meals in the office
• Full family private healthcare & dental
• Excellent contributory pension
• Critical illness & 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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