Join to apply for the Senior Data Engineer role at JOOR .
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 :
* Have 5+ years of experience in data engineering or similar roles.
* Have hands-on experience designing and maintaining modern data warehouses, preferably with BigQuery, Snowflake, or Redshift.
* Have solid experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Luigi) and transformation frameworks (e.g., dbt or custom SQL workflows).
* Are proficient in Python, especially for data scripting and workflow automation.
* Are comfortable with cloud platforms (GCP, AWS, Azure), including data ingestion, storage, and compute tools.
* Have strong SQL skills, capable of writing clean, efficient, and maintainable queries.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
* Retail Apparel and Fashion
* IT Services and IT Consulting
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Madrid, Community of Madrid, Spain
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