Apache Airflow

workflow management, data orchestration, etl
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Apache Airflow: the workflow automation darling of the data world, born at Airbnb in 2014. It’s open-source, meaning free, but don’t let that fool you—it’s no walk in the park. Competing with the likes of Luigi, Prefect, and cloud-native solutions, Airflow's main draw is its DAG-based approach (Directed Acyclic Graphs), which gives you full control over complex pipelines. In other words, it’s a power tool for data engineers who love Python and have a thing for manually tweaking dependencies.
In its current state, Airflow dominates orchestration, especially in companies with mature data engineering teams. But beware: Airflow is highly flexible, which also means highly finicky. Miss one task or get the scheduling wrong, and your whole pipeline could come crashing down at 3 a.m. The UI is functional but looks like it escaped from 2015, and scalability? Well, you'll be tuning it yourself. It’s powerful but requires constant attention—like a temperamental race car.

Used together with Airflow

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Jobs in using Apache Airflow for but please no

data scientist

(00513) 00513-DATA SCIENTIST @ verti-seguros

ES | 2025-12-24
VERTI’s MLOPS posting reads as a production-minded ML engineer slot with a whiff of enterprise architect. The core is designing analytic solutions and training and productionizing ML and... read more »
MLOps, AI/ML, Python, PySpark, SQL, Cloud Computing, AWS, CI/CD, Git, Airflow, Jenkins, NLP
data scientist

Data Technical Expert (IA) - Híbrido Málaga @ ustglobal

ES | 2025-12-23
The role involves providing technical leadership in data and AI, designing and deploying complex data platforms, pipelines, and models, with a notable emphasis on architecture and best practices.... read more »
AI/ML, Cloud Computing, Big Data, Data Streaming, MLOps, Python, SQL, Scala, Java, R, AWS, Azure, GCP, Spark, Databricks, Hadoop, Kafka, Airflow, Trino, NoSQL, Docker, Kubernetes, CI/CD, IaC