Prefect

workflow management, data orchestration, etl
Open jobs

179

Companies looking for

174

Let’s be honest, the data engineering world was already overflowing with workflow schedulers when Prefect sauntered in, promising to be more than just a scheduler. It arrived with a vision of data pipelines as code, embracing Python’s dynamic nature and a frankly admirable commitment to observability. The pitch? Move beyond brittle cron jobs and embrace a truly modern, developer-first approach.

In practice, it’s a bit more involved than simply “wiring things up in Python.” While the core concepts are elegantly simple, mastering Prefect requires a shift in thinking – embracing its task and flow definitions. It distinguishes itself from Airflow by leaning heavily into dynamic mapping and a more opinionated, Python-native experience. Today, it’s gaining traction among those tired of Airflow’s complexity and those building genuinely dynamic data workflows, though one suspects a significant portion of its user base are Python developers who just wanted an excuse to write more Python.

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Jobs (this month)

179

Companies with Jobs

174

Jobs in using Prefect for but please no

data engineer

Senior Consultant - Data (Data Engineering) @ slalom-consulting

SG | 2025-12-25
A senior data engineer role focusing on designing and operating production-grade data pipelines for Fortune 100 clients, with a notable emphasis on modern data platform best practices. The key... read more »
Analytics, Data Engineering, ETL/ELT, Analytics Engineering, Python, DevOps, CI/CD, Agile/Scrum, Data Modelling, AWS, Kubernetes, Snowflake, Databricks, Spark, Hive, Delta, Iceberg, Vector DB, Airflow, Dagster, Prefect, GitHub, Datadog
data engineer

Data Engineer - Singapore @ plaudai

SG | 2025-12-24
Plaud Inc. seeks a data professional to develop data pipelines, support data collection, and build datasets for AI evaluation, with a notable emphasis on data security practices. The role offers... read more »
AI/ML, GDPR/CCPA, Cyber Security, Analytics, Data Collection, Data Engineering, Analytics Engineering, SQL, Python, Go, Scala, ETL/ELT, Airflow, Prefect, Dagster, BigQuery, Snowflake, Redshift, Tableau, Looker, Superset, Data Modelling, Data Governance