Location: Bucharest, Romania

ABOUT

Our client provides practical solutions related to Data and AI, Cloud Services, Robotics and digital Engineering and Business Process Management to their clients.

ROLE

Our client is seeking an experienced Azure & Databricks Cloud Operations Engineer to support and optimize cloud-based data platforms within an enterprise environment.

The successful candidate will focus on maintaining reliable Microsoft Azure infrastructure and Databricks environments, supporting data pipelines, improving platform performance, and implementing effective monitoring and operational practices.

RESPONSIBILITIES

• Manage, monitor, and maintain cloud environments based on Microsoft Azure.

• Support the operation and optimization of Azure Databricks platforms.

• Perform Databricks cluster administration, configuration, monitoring, and performance optimization.

• Support the development, execution, and troubleshooting of data pipelines.

• Monitor cloud infrastructure and data platform health, identifying and resolving operational issues.

• Implement and maintain logging, monitoring, and alerting solutions using Azure Monitor, Log Analytics, and Datadog.

• Collaborate with data engineering and infrastructure teams to improve platform scalability and reliability.

• Support ETL/ELT workflows and data processing across data lakes and data warehouses.

• Troubleshoot cloud infrastructure and data processing issues to maintain application and data availability.

• Contribute to operational documentation, automation initiatives, and continuous platform improvement.

REQUIREMENTS

• Bachelor’s degree in computer science, Information Technology, or a related field.

• 3–5 years of professional experience in cloud operations, with strong expertise in Microsoft Azure.

• 2+ years of hands-on experience with Databricks, including:

- Cluster management and administration

- Data pipeline development and support

- Performance monitoring and optimization

- Familiarity with data engineering concepts and modern data architecture.

- Understanding of ETL/ELT processes, Data Lakes, and Data Warehouses.

- Experience with monitoring and logging tools such as:

- Azure Monitor

- Azure Log Analytics

- Datadog

• Strong analytical and troubleshooting abilities.

• Ability to work independently and collaborate with cross-functional teams.

• Fluent English, both written and spoken.

PREFFERED

• Experience supporting large-scale enterprise data platforms.

• Knowledge of cloud automation and operational best practices.

• Experience improving the reliability and performance of Databricks environments.

• Familiarity with modern Lakehouse architecture.

• Chinese language skills.