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 (this month)

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Jobs in using Apache Airflow for but please no

data engineer

Google Cloud Data Engineer - Sector cosmética @ devoteam

ES | 2025-12-27
Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with... read more »
Cloud Computing, GCP, Dataflow, Dataproc, Cloud Functions, ETL/ELT, API, BigQuery, Cloud Storage, Data Quality, Cloud Run, SQL, Python, Terraform, Git, Airflow
data engineer

Databricks Platform Engineer (f/m/d) @ axpo-group

ES | 2025-12-26
Axpo seeks a Databricks Platform Engineer to ensure the secure, scalable operation of its Azure-based data platform, with an emphasis on automation and compliance. The standout feature is their... read more »
Management, Analytics, Databricks, Azure, Terraform, CI/CD, Datadog, Grafana, GDPR/CCPA, API, Computer Science, Cloud Computing, Azure DevOps, Python, Delta, GitHub, Docker, Linux, Airflow, Dagster, Microsoft
promoted

BigQuery Cost Optimization Guide by Masthead Data

The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...

Learn More
data engineer

Data Engineer Scala Spark @ capgemini

ES | 2025-12-25
Capgemini pitches a Data Engineer role inside a global, multi-sector data practice. Expect to build pipelines from scratch, manage batch and real-time workloads with Apache Spark, and stitch ETLs... read more »
Spark, Python, Scala, Cloud Computing, Azure, AWS, GCP, Databricks, Synapse, Airflow, AI/ML