Описание The Knot Worldwide provides products, services, and content for celebration planning. Its global online wedding Vendor Marketplace connects couples with local wedding professionals, while its personalized wedding websites, planning tools, invitations, and registry services support couples throughout the planning process.

Задачи Design, build, and maintain scalable end-to-end data pipelines for large and complex datasets

Build SQL-based data transformations using Airbyte, Python, and dbt

Apply dimensional modeling techniques to design tables and views for an enterprise data model

Develop and support complex ETL infrastructure that delivers clean and reliable data

Participate in the architecture and strategy for deploying end-to-end data pipelines

Partner with Data Platform Engineering teams to define business logic and move pipelines into production

Partner with Managers and Leads to define best practices, templates, and scalable dbt code

Assist with performance tuning of existing models, pipelines, and data applications

Foster data governance practices, including data privacy, security, and documentation

Understand business processes and apply this knowledge to solve problems

Work with end users and stakeholders to understand needs, provide insights, and train them 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 ensure consistency across models and reporting

Требования Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

3+ Years of experience in design, development, data management, administration, and support

Experience building data models, data pipelines, and data warehouses

Advanced SQL and dbt modeling proficiencyStrong Python skills

Solid understanding of modern data engineering and architecture concepts

Knowledge of data warehousing, data pipelines, data marts, semantic layers such as Cube, and cloud-based data integration

Solid understanding of Paid Media performance metrics

Ability to convert marketing and business reporting requirements into data models and end-to-end pipeline designs

Ability to work independently and collaboratively

Strong organizational, troubleshooting, interpersonal, and communication skills

Ability to explain complex data insights to non-technical stakeholders

Self-motivated, adaptable, detail-oriented, and open to constructive feedback

Fluent spoken and written English

Nice to have: Snowflake, data ingestion and orchestration with Airbyte and Airflow, Qlik, Tableau, Power BI, Looker, Streamlit, Agile methodology, JIRA

Условия Hybrid work model with two office days per week

Meaningful benefits supporting physical and mental wellness

Versátil time off

📌 data engineer for wedding planning (Barcelona)
🏢 Enfint
📍 Barcelona