Описание: The Knot Worldwide helps people plan meaningful celebrations and supports small business owners in growing and scaling their businesses. Its data team builds data foundations that power trusted analytics, intelligent ML/AI systems, and scalable business growth.
Задачи: Design, build, and maintain scalable end-to-end data pipelines for large and complex datasets
Collect, process, and analyze website behavior, customer, transactional, and other business data using Airbyte, Python, and dbt
Write SQL-based data transformations and ensure data is clean and ready for analysis
Apply dimensional modeling techniques to design tables and views for an enterprise data model
Develop and support complex ETL infrastructure
Participate in the architecture and strategy for end-to-end data pipeline deployment
Partner with Data Platform Engineering Teams to define business logic and move data pipelines into production
Partner with Managers and Leads to define best practices, templates, and scalable dbt code
Improve the performance of existing models, pipelines, and data applications




Foster data governance practices, ensure data privacy and security, and document pipelines, transformations, and models
Understand business processes and apply this knowledge to solve problems
Work with end users and stakeholders to understand their needs
Provide insights and train users on Information Mart models, data applications, and actionable results
Scope, track, execute, and communicate projects in an Agile environment
Mentor Data Engineering team members and provide technical leadership and guidance
Oversee top-of-funnel metrics for at least one Business Domain and maintain consistency across models and reporting
Требования: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
3+ Years of experience in data model, data pipeline, data management, administration, and support
Experience building data models, data pipelines, and data warehouses
Advanced

📌 data engineer for business analytics (Barcelona)
🏢 Enfint
📍 Barcelona