Senior Data DevOps Engineer with Azure

EPAM Systems; Turkey; On-site; TRY 2,294,630 - 3,441,945; Full time

Job summary

EPAM Systems is looking for a highly skilled Senior Data DevOps Engineer in Turkey. This role involves deploying scalable solutions and optimizing data platforms. You will collaborate with cross-functional teams to ensure effective data workflows.

The ideal candidate has over 3 years of experience, strong knowledge of Azure, and excellent communication skills in English. Join us to drive data-driven processes within our innovative environment.

Qualifications

• 3+ years of experience in a related role for delivery and operations.
• Hands-on expertise with Azure tools and DataOps practices.
• English communication at B2 level or higher.

Responsibilities

• Deploy and configure the Data Platform in Databricks.
• Design, implement, and evolve CI/CD pipelines for data.
• Diagnose and resolve issues in build/deploy pipelines.
• Maintain configuration management practices for environments.
• Produce and maintain technical documentation on deployments.

Skills

Experience in Azure

Databricks expertise

CI/CD pipelines design

DataOps practices

MLOps knowledge

Strong communication skills

Tools

Azure Data Factory

Azure DevOps

Job description

We are in search of a highly skilled Senior Data DevOps Engineer with expertise in Azure to join our team and support the implementation, delivery, and optimization of our data platforms. You will be responsible for deploying scalable solutions, streamlining workflows, and enabling data-driven processes by collaborating with cross-functional teams.

Responsibilities

• Deploy and configure the Data Platform in Databricks based on the approved architecture and solution designs, ensuring environments are production-ready, secure, and scalable.
• Work closely with cross-functional teams (Data Engineering, ML, Platform, QA) to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and services.
• Diagnose and resolve issues in build/deploy pipelines, data workflows, and production workloads; participate in root cause analysis and implement preventive fixes.
• Develop, standardize, and maintain configuration management practices (infrastructure configuration, environment parameters, secrets, cluster policies) to ensure consistency across environments.
• Produce and maintain clear technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configuration.

Requirements

• 3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role supporting delivery and operations.
• Strong hands‑on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure in general — including DataOps practices such as automated data pipeline deployment, environment promotion, and governance.
• Experience with MLOps (model deployment, monitoring, lifecycle automation for ML workloads) is considered an advantage.
• Strong communication and collaboration skills, with the ability to work effectively across engineering, data, and operations teams.
• English at B2 level or higher, ability to participate in technical discussions and produce documentation in English.