Experteer Overview Maximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil. 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 / Ventajas• 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 domainsResponsabilidades• Bachelor’s degree in a related field• 3+ years in data modeling, pipelines, and data warehousing (Snowflake preferred)• Advanced SQL and dbt proficiency; strong Python• Experience with data ingestion u0026 orchestration (Airbyte u0026 xcskxlj 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 fluencyRequisitos principales• flexible vacation• generous parental leave• mental wellbeing support• physical health programs• financial planning resources• employee discounts

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