Hybrid Data Engineer for Business Analytics & Insights

Enfint; Barcelona; Híbrido; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible vacation

Parental leave

Wellbeing programs

Office attendance two days a week (hyb

Discounts and perks

Descripción de la vacante

The Knot Worldwide is seeking a data engineer to design, build and maintain scalable data pipelines for large datasets. You will collect, process, and analyze website behavior, customer, and transactional data using Airbyte, Python, and dbt.

Join a collaborative data team, apply dimensional modeling, develop ETL infrastructure, and mentor junior engineers while ensuring data governance and security across enterprise pipelines.

Formación

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Advanced SQL and dbt modeling skills; strong Python abilities.
• Experience building data models, data pipelines, and data warehouses.

Responsabilidades

• 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 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.
• Mentor Data Engineering team members and provide technical leadership and guidance.

Conocimientos

SQL

Python

dbt

Data modeling

Data pipelines

Cloud data integration

English

Stakeholder comms

Educación

Bachelor’s degree

Herramientas

Airbyte

Airflow

Qlik

Tableau

Power BI

Looker

Streamlit

JIRA

Descripción del empleo

The Knot Worldwide is seeking a data engineer to design, build and maintain scalable data pipelines for large datasets. You will collect, process, and analyze website behavior, customer, and transactional data using Airbyte, Python, and dbt.

Join a collaborative data team, apply dimensional modeling, develop ETL infrastructure, and mentor junior engineers while ensuring data governance and security across enterprise pipelines.