Overview
Para una comprensión completa de esta posibilidad y de lo que se requerirá para ser un candidato exitoso, siga leyendo.
As a Senior Data Engineer, you will own end-to-end data pipelines that drive trusted analytics, ML/AI readiness, and scalable growth across Product, Marketing and Revenue. You’ll partner with stakeholders and Data Platform teams to model data and deliver self-serve analytics for business domains. This hybrid role blends data engineering with BI/reporting skills to empower data-driven decisions and governance. You’ll work with the modern data stack to keep pipelines performant and well-documented, fostering a data-driven culture.
Compensaciones / Beneficios
flexible vacation
generous parental leave
mental wellbeing support
physical health programs
financial planning resources
employee discounts
Responsabilidades
Design, build, and maintain end-to-end scalable data pipelines using Airbyte, Python and dbt; perform SQL-based transformations and ensure data quality for analysis
Apply dimensional modeling to map business processes into enterprise data models
Develop and support ETL infrastructure for clean, reliable data delivery
Contribute to data architecture and strategy for pipeline deployment
Collaborate with Data Platform Engineering to translate business logic into production pipelines
Define best practices and scalable templates for dbt-based development
Tune performance of models, pipelines, and data applications
Foster data governance, privacy,



security, and thorough documentation of pipelines and models
Understand business processes and translate requirements into actionable data solutions
Engage with stakeholders across the organization to drive insights and enable self-service analytics
Scope and track projects in an Agile environment
Mentor data engineering teammates and provide technical leadership
Oversee top-of-funnel metrics for at least one Business Domain and maintain consistent usage across models
Maintain strong documentation and data quality across domains
Requisitos principales
Bachelor’s degree in a related field
3+ years in data modeling, pipelines, and data warehousing (Snowflake preferred)
Advanced SQL and dbt proficiency; xqbhyrx strong Python
Experience with data ingestion & orchestration (Airbyte & Airflow) a plus
Solid understanding of modern data engineering concepts (warehouses, pipelines, semantic layers) and cloud infrastructure
Marketing domain knowledge, especially Paid Media metrics
Ability to work independently and in cross-functional teams
Strong communication, troubleshooting, and attention to detail
Experience with BI/reporting tools (Qlik, Tableau, Power BI, Looker, Streamlit) a plus
Experience with Agile methodology and JIRA a plus
English fluency
Collaborative mindset
Strong communication for non-technical stakeholders
Mentorship and technical leadership
dbt
SQL
Python

📌 Senior Data Engineer (Barcelona)
🏢 The Knot Worldwide
📍 Barcelona