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 SQL and dbt modeling skills

Strong 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 data integration

Solid understanding of Paid Media performance metrics

Ability to convert marketing and business process requirements into data pipeline designs and models

Ability to work independently and collaboratively

Strong organizational, troubleshooting, interpersonal, and communication skills

Attention to detail and ability to detect and explain data anomalies

Ability to explain complex data insights to non-technical stakeholders

Fluent spoken and written English

Nice to have: Experience with Airbyte and Airflow, Qlik, Tableau, Power BI, Looker, or Streamlit, Agile methodology, and JIRA

Условия: Adaptable vacation

Generous parental leave

Mental wellbeing, physical health, and financial planning offerings

Perks and discounts

Employee growth, development, and wellbeing initiatives

Office attendance two days a week as part of the hybrid work model

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