Description

Are you ready to build highly observable, scalable data systems in a real-time cloud environment? We’re looking for a skilled Azure Data Engineer who’s passionate about data reliability, streaming tech, and building systems that just work — even at scale.
 

Key Responsibilities:
Design and implement observability strategies for data pipelines and real-time systems
Use Databricks, Spark, Python, SQL, and streaming technologies to build robust instrumentation
Monitor and troubleshoot streaming systems across Azure cloud infrastructure
Work with telemetry and metrics platforms (training provided!)
Drive best practices in data system observability and performance
 

What You Bring:
6+ years of hands-on experience in Azure Data Engineering
Proficiency in:
Azure Databricks
Apache Spark
Python & SQL
Streaming tools: Kafka, Event Hubs, Structured Streaming
Solid understanding of distributed data pipelines and cloud systems
 

Nice to Have:
Familiarity with tools like Grafana, Prometheus, OpenTelemetry, Dynatrace, or Splunk
Exposure to DevOps, CI/CD pipelines
Background in system performance or reliability engineering

Key Skills

Education

Any Graduate