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.

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Jobs in using Apache Airflow for but please no

data engineer

(Senior) Data Engineer (f/m/x) @ audibene

DE | 2025-12-28
Audibene is hiring a Senior Data Engineer to own the data lifecycle end-to-end and build AI-ready data products rather than dashboards. The role centers on a modern stack—Airflow, Snowflake,... read more »
AI/ML, LLM, Analytics, Airflow, Snowflake, Kubernetes, Data Quality, dbt, ETL/ELT, Data Modelling, Cloud Computing, BigQuery, Redshift, AWS, GCP, Azure, Python, Management, ClickHouse, DuckDB, Data Streaming, Kafka, Redpanda, Kinesis, Go
data engineer

Manager Integrated Analytics & Architecture (m/w/d) @ deloitte

DE | 2025-12-24
Deloitte’s Manager Integrated Analytics & Architecture role in Germany asks you to lead end-to-end AI and data implementations for big clients, pairing project delivery with architectural... read more »
AI/ML, Analytics, Data Analytics, Cloud Computing, Snowflake, Databricks, ETL/ELT, Airflow, dbt, SAP, Fabric