Senior Data Engineer (Viator)

Viator is a company owned by TripAdvisor that simplifies the tasks of finding and booking activities that you'll love to do. Boasting a leading selection of high-quality experiences, Viator presents millions of travellers each month with fresh opportunities to discover, both in proximity and distantly from home.

We hold a firm belief that we flourish when united, and at Viator, we welcome you just as you are. Our workplace and our people-powered platform are both open to everyone. At Viator, we encourage you to bring your unique identities, abilities, and experiences, so that we can revolutionize travel collectively and discover the good in the world together.

The MarTech Engineering and Operations team at Viator develops and maintains the equipment used to attract millions of visitors to viator.com every month. The team oversees all Marketing data from beginning to end, including data ingestion, transformation, visualisation, and data architecture to guarantee first-rate operational reliability and modularity. The team is in search of a novel Senior Data Engineer to aid Viator's growing traffic and to provide cutting-edge MarTech solutions. This role is a hybrid position located in either our Oxford or London offices.

What you'll do:

• Construct modern data pipelines for marketing data.
• Supervise data pipelines for accuracy, missing data, enhancements, transformations, SLA, and billing volumes to ensure all data is captured and processed precisely and as needed.
• Collaborate with cross-functional stakeholders to define and record requirements for creating high-quality and impactful data products.
• Resolve data issues and alerts between various systems, identifying chances to innovate and enhance.
• Guide the evaluation, implementation, and deployment of emerging tools and technologies to improve our productivity as a team.
• Formulate and provide communication and education plans about data engineering abilities, standards, and procedures.
• Code, test, and record new or modified data systems to create sturdy and scalable applications for reporting and data analytics.
• Own and record data pipelines, monitoring, data accuracy, SLAs and data lineage.

What you'll need:

• 3 or more years of Data Engineering experience, focusing on creating modern data pipelines catering to both batch and real time data needs.
• Honed Python, Java or Scala Experience.
• Significant experience in SQL; capable of writing complex, efficient, fail-safe queries.
• Experience with Restful APIs.
• Experience with CI/CD processes and platforms.
• Experience with establishing end-to-end data pipelines in an enterprise setting.
• Hands-on experience with Cloud computing technology like GCP, AWS, etc.
• Familiarity with Looker, Tableau, or similar visualisation/business intelligence platform.
• Capability to effectively operate both independently and as part of a team.
• Self-motivated with strong problem-solving and self-learning abilities.

What would be nice to have:

• Knowledge of MarTech is an asset.
  • Experience in working with marketing data is a great advantage.
  • Understanding of CDP/CRM tools, link tracking, pixels/tags, Google Analytics, and marketing attribution.
• Experience with BigQuery or Google Cloud.
• Experience with DBT.
• Familiarity with Apache Airflow or other DAG frameworks.
• Experience with technologies like Snowflake, Postgres, etc.

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

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

What you'll get:

A 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 of 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 - and what you would bring to Viator