Senior Data Engineer

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We are seeking a Senior Data Engineer to :

• Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. The current data warehouse has grown organically, and we need to rethink it to meet our users’ needs.
• Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows. Collaborate with engineering teams to anticipate data changes from our platform. Our environment uses GCP’s managed Airflow, with code on Github.
• Maintain existing pipelines, Airflow, dbt, and ingestion tools (Fivetran, Datastream) with minimal downtime. Data sources include Salesforce, PostgreSQL, and others via APIs and tools like Fivetran and Datastream.
• Keep technical documentation up-to-date in Confluence to aid understanding of the data stack and workflows.
• Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results. We prioritize asynchronous communication but hold meetings with clear agendas when needed.

We would LOVE to hear from you if you :

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Madrid, Community of Madrid, Spain

Note : The repeated postings and extraneous details about locations and dates have been omitted for clarity and relevance.

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