Data Engineer (Airflow)

BarcelonaFull-TimeMid-levelSoftware Engineering

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Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
3+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.
Solid experience with data migration projects and working with large datasets.
Strong hands-on experience with Snowflake, including data loading, querying, and performance optimization.
Proficiency in dbt (data build tool) for data transformation and modeling.
Proven experience with Apache Airflow for scheduling and orchestrating data workflows.
Expert-level SQL skills, including complex joins, window functions, and performance tuning.
Proficiency in Python for data manipulation, scripting, and automation for edge cases
Familiarity with PySpark, AWS Athena, and Google BigQuery (source systems).
Understanding of data warehousing concepts, dimensional modeling, and ELT principles.
Knowledge of building CI/CD pipelines for code deployment
Experience with version control systems (e.g., Github).
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a collaborative team in an agile environment.
Must speak and write in English fluently; Effective communicator

AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.