Experteer Overview 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 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