Apache Airflow
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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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Compare to other orchestration toolsJobs (this month)
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Jobs in using Apache Airflow for but please no
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analyst
Lead Data Analyst @ kaino-consulting
FR | 2025-12-23
| EUR
70000 - 0
/ year
A Lead Data Analyst role at a major French multibrand retailer involves managing analytics, KPIs, and visualization tools like Power BI/Qlik, with a unique emphasis on cross-unit KPI coherence....
read more »
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Marketing, DataViz, Power BI, Qlik, Management, KPI, BI, Lance, Data Science, AI/ML, Data Engineering, Data Quality, Python, SQL, Docker, Snowflake, Airflow, Data Analytics, Analytics, Cloud Computing, DWH, Azure, GCP | ||
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analyst
Ingénieur Data Analyst / BI - Freelance @ usecollective
FR | 2025-12-23
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400 - 450
A Data Analyst BI role bridging technical and business teams, focusing on data from user behavior, product, technical, and hardware sources. The differentiator is the emphasis on understanding...
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BI, KPI, Cloud Computing, IaC, Kafka, Snowflake, Databricks, Airflow, Python, DataViz, Metabase, Grafana, SQL |