Senior Data Engineer

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 / Beneficios * 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 Responsabilidades * 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 u** orchestration (Airbyte u** 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 Requisitos principales * flexible vacation * generous parental leave * mental wellbeing support * physical health programs * financial planning resources * employee discounts

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 Responsabilidades * 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 u** orchestration (Airbyte u** 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 Requisitos principales * flexible vacation * generous parental leave * mental wellbeing support * physical health programs * financial planning resources * employee discounts