Senior Engineer, Data Engineering

hace 1 semana

Santiago de Compostela, España Ledgy A tiempo completo

At Ledgy, we're on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users. As a Data Engineer at Ledgy, your mission is to build robust data pipelines, design scalable data architecture, and collaborate with teams to deliver insights that drive business decisions. Reporting directly into Head of Operations & AI, you'll play a key role in driving our data engineering strategy. Manage and optimize data infrastructure and ETL pipelines using Fivetran, Airbyte, and Google Cloud Platform, ensuring reliable data flow from multiple sources into our analytics ecosystem Develop, test, and maintain DBT models that transform raw data into analytics-ready datasets following best practices Create and manage LookMLmodels in Looker to enable self-service analytics for stakeholders across the company Drive continuous improvement of our data engineering practices, tooling, and infrastructure as a key member of the Operations team 2-3+ years experience building production data pipelines and analytics infrastructure, with DBT, SQL, and Python (Pandas, etc.) ~ Experience implementing xohynlm and managing ETL/ELT tools such as Fivetran or Airbyte ~ Ideally hands-on experience with GCP (BigQuery) ~ Proficiency in Looker, including LookML development ~ Strong plus if you have experience using n8n or similar automation tools ~ Experience with SaaS data sources (HubSpot, Stripe, Vitally, Intercom) ~ Familiarity with AI-powered development tools (Cursor, DBT Copilot) and a strong interest in leveraging cutting-edge tools to improve workflow ~ Strong problem-solving skills and ability to debug complex data issues ~

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