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 new Senior Data Engineer to support Viators growing traffic & deliver start-of-the-art MarTech solutions. This role is a hybrid position based in either our Oxford or London offices. 

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.
• Lead the evaluation, implementation & deployment of emerging tools & technologies to improve our productivity as a team.
• Develop & deliver communication & education plans on data engineering capabilities, standards, & processes.
• Code, test, & document new or modified data systems to create robust & scalable applications for reporting & data analytics.
• Own & document data pipelines, monitoring, data accuracy, SLAs & data lineage.

What you'll need:

• 3+ years of Data Engineering experience focused on building modern day data pipelines catering to both batch & real time data needs. 
• Strong Python, Java or Scala Experience. 
• Strong experience in SQL; can write complex, performant, fail-safe queries.
• Experience with Restful APIs. 
• Experience with CI/CD processes & platforms.
• Experienced with setting up end to end data pipelines in an enterprise environment.
• Hands-on with Cloud computing technology like GCP, AWS, etc.
• Exposure to Looker, Tableau, or similar visualisation / business intelligence platform.
• Ability to effectively operate both independently & as part of a team.
• Self-motivated with strong problem-solving & self-learning skills.

What would be nice to have:

• 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.

• Expertise designing & implementing data pipelines using modern data engineering approach & tools: Spark, PySpark, Java, Docker, cloud native DWH (Snowflake, Redshift), Kafka/Confluence etc.

And if you dont have the above, don't worry, this is your opportunity to come & learn!

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 & 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

Application process

• 30 minute call with a recruiter to learn more about the role
• 30 minute technical/functional interview with the hiring manager
• Two one-hour interviews with members of the team, covering technical topics - including some coding - & what you would bring to Viator

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