Senior Data DevOps Engineer with Azure (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Kaunas
Paskelbta: 2026-10-23
💶 3800 - 5600 €/mėn. Prieš mokesčius · visa darbo diena · nuotolinis darbas: hibridinis · paskelbta 2026-10-17
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Job description:
We are seeking a Senior Data DevOps Engineer to support and optimize our data platform within Azure environments.
You will play a key role in deploying and maintaining scalable, secure data infrastructures while collaborating with various teams to enhance data workflows and CI/CD pipelines. Your expertise with Databricks and Azure tools will be essential to ensure smooth operations and continuous improvement of our data systems. Join us to contribute your skills in a dynamic environment focused on advanced data solutions.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Deploy and configure data platforms in Databricks according to approved architecture and solutions ensuring production readiness and scalability
Collaborate with cross-functional teams including data engineering, machine learning, platform, and quality assurance to design and maintain CI/CD pipelines and supporting tools for data workflows
Diagnose and resolve issues related to build and deployment pipelines, data workflows, and production workloads including performing root cause analysis and implementing preventive solutions
Develop and standardize configuration management practices covering infrastructure configuration, environment parameters, secrets management, and cluster policies to maintain consistency
Produce and update technical documentation such as deployment guides, operational runbooks, pipeline logic, and platform configurations
Implement governance and security best practices for data platform environments
Support automation efforts to promote efficient environment deployment and pipeline operations
Participate in continuous improvement initiatives for data platform infrastructure and workflows
Requirements:
Experience of 3 or more years in roles such as Build Engineer, DevOps Engineer, or Platform Engineer supporting delivery and operations
Proficiency in Databricks, Azure Data Factory, Azure DevOps, and general Microsoft Azure environment management
Knowledge of DataOps practices, including automated deployment of data pipelines, environment promotion, and governance
Experience in troubleshooting and resolving pipeline and production data workflow issues
Strong communication and collaboration capabilities to work effectively with engineering, data, and operations teams
English language proficiency at the B2 level or higher for participation in technical discussions and documentation preparation
Ability to produce and maintain clear technical documentation and runbooks
Nice to have
Experience with MLOps including model deployment, monitoring, and lifecycle automation for machine learning workloads
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance…
We are seeking a Senior Data DevOps Engineer to support and optimize our data platform within Azure environments.
You will play a key role in deploying and maintaining scalable, secure data infrastructures while collaborating with various teams to enhance data workflows and CI/CD pipelines. Your expertise with Databricks and Azure tools will be essential to ensure smooth operations and continuous improvement of our data systems. Join us to contribute your skills in a dynamic environment focused on advanced data solutions.
_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._
Deploy and configure data platforms in Databricks according to approved architecture and solutions ensuring production readiness and scalability
Collaborate with cross-functional teams including data engineering, machine learning, platform, and quality assurance to design and maintain CI/CD pipelines and supporting tools for data workflows
Diagnose and resolve issues related to build and deployment pipelines, data workflows, and production workloads including performing root cause analysis and implementing preventive solutions
Develop and standardize configuration management practices covering infrastructure configuration, environment parameters, secrets management, and cluster policies to maintain consistency
Produce and update technical documentation such as deployment guides, operational runbooks, pipeline logic, and platform configurations
Implement governance and security best practices for data platform environments
Support automation efforts to promote efficient environment deployment and pipeline operations
Participate in continuous improvement initiatives for data platform infrastructure and workflows
Requirements:
Experience of 3 or more years in roles such as Build Engineer, DevOps Engineer, or Platform Engineer supporting delivery and operations
Proficiency in Databricks, Azure Data Factory, Azure DevOps, and general Microsoft Azure environment management
Knowledge of DataOps practices, including automated deployment of data pipelines, environment promotion, and governance
Experience in troubleshooting and resolving pipeline and production data workflow issues
Strong communication and collaboration capabilities to work effectively with engineering, data, and operations teams
English language proficiency at the B2 level or higher for participation in technical discussions and documentation preparation
Ability to produce and maintain clear technical documentation and runbooks
Nice to have
Experience with MLOps including model deployment, monitoring, and lifecycle automation for machine learning workloads
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
Advanced Tech Stack: Innovative projects where you can apply or enhance…