Data Engineer- Tracking Architecture

Confirmed live in the last 24 hours

The Knot Worldwide

Barcelona, Catalonia, Spain

Hybrid

Posted March 19, 2026

Job Description

WHAT WE DO MATTERS:

At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success.

ABOUT THE ROLE AND OUR TEAM:

As a member of the Tracking Architecture team, you will work with both business and technology stakeholders to implement the website/mobile application tracking strategy. Supporting the technical design, construction, delivery, and maintenance of TKWW’s event-based reporting tools. The perfect candidate takes a methodical approach to addressing tracking needs for the organization and is focused on balancing business needs with technical impact. You also have front-end experience, but a passion for understanding how front-end work is intertwined with business and product objectives.

RESPONSIBILITIES:

Work closely with Data Analytics, Data Science, and Product teams to identify and gather requirements for tracking on TKWW websites and mobile applications
Work closely with developers and digital product owners to implement the event architecture and conduct necessary quality assurance checks
Responsible for maintaining documentation from the Tracking Architecture team via Confluence
Work on ad-hoc basis to implement additional tracking to support advertising and marketing journey tags
Provide general troubleshooting assistance for the analytics team as well as provide guidance for data integrity issues
Work with development teams to ensure analytics tracking QA during production cycles
Perform routine quality assurance checks to guarantee clean data for the Analytics team
Support a data-driven culture and strong collaboration with cross functional teams:
- Help Product, Marketing, & Development teams define user actions and the important meta-data associated with those actions
- Enable user clicks and similar interactions to pass through to downstream services or warehouses
- Documentation and Governance

SUCCESSFUL DATA ENGINEER CANDIDATES HAVE:

Bachelor's degree in Software or Data Engineering OR Certification in Related Field
Exposure to leading industry analytics tools (Adobe Analytics or Google Analytics)
Exposure to tag management systems, such as Adobe Dynamic Tag Management (DTM), Google Tag Manager, etc.
Knowledge of SQL and/or other querying language frameworks
Experience with event streaming, messaging between microservices, and data streaming and messaging services like Apache Kafka, Amazon Kinesis, or Segment, Rudderstack
Understanding of web metrics, KPIs and tracking variables
Knowledge of JavaScript, HTML, JavaScript Object Notation (JSON), and Document Object Model (DOM) manipulation
Experience with front-end web or analytics development tools
Exposure to Tag audit and session replay tools such as Tag inspector, Tealeaf, Fullstory, etc.
Experience with marketing technology (Google Marketing Platform, Facebook Business Manager, etc.)
Understanding of Data Management Platforms (DMP) such as Adobe, BlueKai, Google Ads Manager, etc.
Understanding of Mobile SDK tools for reporting (i.e. Google Firebase)
Understanding of ETL and ELT processes
Understanding of Customer Data Platforms (CDP) and their usefulness (Segment Engage, Customer.IO)