Senior Data DevOps Engineer with Azure

EPAM Systems; Turkey; On-site; TRY 3,401,000 - 4,859,000; Full time

Benefits offered by this job

Health insurance

Mentoring programs

Learning platforms

English courses

Job summary

EPAM Systems is seeking a Senior Data DevOps Engineer with Azure expertise to join our team, driving deployment, delivery and optimization of data platforms.

You will deploy scalable data platforms, streamline CI/CD pipelines, and enable data-driven workflows by collaborating with Data Engineering, ML, Platform and QA teams, while documenting configurations and runbooks for production environments.

Qualifications

• 3+ years in Build/DevOps/Platform role supporting delivery and operations.
• Hands-on with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure.
• MLOps experience is a plus.
• Strong English communication and documentation skills.

Responsibilities

• Deploy and configure the Data Platform in Databricks per architecture.
• Collaborate with Data Engineering, ML, Platform and QA to design CI/CD pipelines.
• Diagnose and resolve issues in build/deploy pipelines and data workflows.
• Maintain configuration management and environment parameters for consistency.
• Produce deployment guides and runbooks for production environments.

Skills

Cross-functional collaboration

English communication

CI/CD practices

Tools

Databricks

Azure DevOps

Azure Data Factory

Microsoft Azure

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

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.