Middle DataOps Engineer
About The Position
This role involves supporting the migration from Synapse to Databricks by building and maintaining robust infrastructure and deployment pipelines. The engineer will automate the provisioning, configuration, and monitoring of Databricks environments across multiple data streams, ensuring smooth CI/CD processes for data engineering workloads. This includes automating initial data loads, deploying data marts and consumption layers, and integrating with reporting and Power BI solutions. The position requires collaboration with Data Engineers, product teams, and business stakeholders to ensure reliable and secure data delivery, while also optimizing system performance, scalability, and cost-efficiency in cloud environments. The role also involves implementing monitoring, alerting, and logging solutions, writing and maintaining Infrastructure as Code (IaC), and troubleshooting environment, pipeline, and integration issues. Staying current with DevOps best practices and emerging technologies is also a key aspect of this role.
Requirements
- 5+ years of professional experience in DevOps, cloud infrastructure, and automation
- Strong hands-on experience with Azure and Databricks environments
- Proficiency with Infrastructure as Code tools (e.g., Terraform, ARM templates, Bicep, or similar)
- Solid scripting and automation skills in Python, Bash, or PowerShell
- Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) for data engineering workflows
- Knowledge of containerization and orchestration (Docker, Kubernetes is a plus)
- Experience implementing monitoring and observability tools (Azure Monitor, Prometheus, Grafana, etc.)
- Strong understanding of cloud security, governance, and cost optimization practices
- Competency in collaborating with engineers to ensure stable, scalable, and maintainable solutions
- Experience working in agile teams using SCRUM methodologies
- English level Upper-Intermediate
Nice To Haves
- Kubernetes is a plus
Responsibilities
- Support the migration from Synapse to Databricks by building and maintaining robust infrastructure and deployment pipelines
- Automate provisioning, configuration, and monitoring of Databricks environments across multiple data streams
- Ensure smooth CI/CD processes for data engineering workloads, including: Initial data load automation, Deployment of data marts and consumption layers, Integration with reporting and Power BI solutions
- Collaborate with Data Engineers, product teams, and business stakeholders to ensure reliable and secure data delivery
- Optimize system performance, scalability, and cost-efficiency in cloud environments
- Implement monitoring, alerting, and logging solutions to maintain system health and reliability
- Write and maintain Infrastructure as Code (IaC) for repeatable, version-controlled deployments
- Troubleshoot and resolve environment, pipeline, and integration issues efficiently
- Stay current with DevOps best practices and emerging technologies in the cloud and data ecosystem
Benefits
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
