Azure Data Factory

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Azure Data Factory (ADF): Microsoft’s cloud ETL service, launched in 2015, was designed to help enterprises wrangle data. It competes with AWS Glue, Google Cloud Dataflow, and traditional tools like Informatica. ADF’s selling point? Seamless integration with the whole Azure ecosystem—naturally. If you're all-in on Azure, it’s a no-brainer. Otherwise, you'll feel the lock-in creeping.
With ADF, you're promised a low-code experience, so you too can play data engineer. But don’t get too comfy, because complex workflows still require that lovely mix of handholding and custom coding. Its key differentiators: native integration with Azure services, hybrid data movement across on-prem and cloud, and a visual interface that’s actually not terrible.
Still, ADF's pay-as-you-go model means you can kiss transparency goodbye when the bill comes in. Watch your usage or prepare for some interesting conversations with your finance department.

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Jobs in using Azure Data Factory for but please no

data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-26
Microsoft seeks a customer-obsessed advanced cloud engineer to resolve complex Azure issues, support key projects, and serve as the voice of the customer. The role's differentiator is its emphasis... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
data scientist

Azure Advanced Cloud Engineer 2 - Japanese Speaking @ microsoft

AU | 2025-12-24
The role involves supporting Azure customers by troubleshooting complex technical issues, acting as the voice of the customer, and coordinating with product teams. A key differentiator is the... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data scientist

Senior Azure Cloud Customer Experience Engineer @ microsoft

AU | 2025-12-24
This role involves providing technical support to Azure customers by troubleshooting issues, analyzing incident trends, and acting as a bridge between customer feedback and product teams. A unique... read more »
Microsoft, Cloud Computing, Azure, Management, Computer Science, Data Analytics, AI/ML, Linux, Kubernetes, Big Data, SQL, Cosmos, PostgreSQL, Databricks, ADF, Redis, Analytics, Grafana, Datadog
data engineer

Data Engineer - Azure & Databricks @ n2sglobal

AU | 2025-12-23
This position calls for a data engineer skilled in Azure Databricks to build scalable data pipelines with the added twist that integrating diverse data sources like REST APIs and SFTP is a... read more »
Databricks, ETL/ELT, ADF, Spark, API, Cloud Storage, Management, Azure, Data Lake, SQL, Delta, Data Quality, Data Governance, Computer Science, Data Engineering, Python, Synapse, DWH, Big Data, Airflow, Kafka, AI/ML