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 / Beneficios versátil 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; 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