Informacje o stanowisku

technologies-expected :

• Azure Pipelines
• Bitbucket Pipelines
• GitHub Actions
• GitLab Pipelines
• Jenkins
• TeamCity
• Travis CI
• Azure Resource Manager
• Terraform
• Python
• SQL
• Docker
• Kubernetes
• Apache Spark
• PySpark
• Scala
• Spark SQL
• PowerShell
• Bash

• The person in this role will be responsible for developing the team and building competencies in the area of Data Platform Administration, with a particular focus on the hands-on implementation of solutions at the intersection of DataOps and DevOps. This role combines expertise in CI/CD process automation, containerization, and infrastructure as code. We offer the opportunity to work in an international environment where cutting-edge technology meets real-world impact in the development and operation of data platforms.

• Designing and implementing automated CI/CD pipelines (build, deploy, test)
• Implementing Infrastructure as Code (Azure Resource Manager, Terraform) and provisioning environments from scratch
• Deploying and managing applications in Microsoft Service Fabric
• Implementing Azure Databricks deployments, including ETL flow orchestration and Big Data solutions
• Automating development processes and monitoring environment stability
• Providing technical consultation to clients, analyzing requirements, and supporting business teams
• Administering Windows/Linux systems and maintaining development tooling support

• Hands-on experience with CI/CD – building, maintaining, and optimizing pipelines (e.g., Azure Pipelines, Bitbucket Pipelines, GitHub Actions, GitLab Pipelines, Jenkins, TeamCity, Travis CI).
• Strong expertise in Infrastructure as Code (IaC), especially Terraform (experience with Azure Resource Manager is a plus)
• Solid knowledge of networking concepts – including protocols, configuration, and security in cloud and hybrid environments
• Practical understanding of DevOps practices, particularly in: automated code delivery to environments (build, deployment), code quality verification (static code analysis, unit/integration/regression testing), environment monitoring
• Proficiency in programming languages, especially Python and SQL
• At least 1 year of experience with containerization and orchestration technologies (Docker, Kubernetes)
• Practical knowledge of Apache Spark and related technologies (e.g., PySpark, Scala, Spark SQL)
• Familiarity with data flow management tools (e.g., Delta Lake, MLflow) and integration with data warehouses (e.g., Azure Synapse Analytics)
• Ability to design and implement analytics solutions in Azure Databricks
• Scripting skills in at least one language (e.g., PowerShell, Bash)
• Basic knowledge of Windows/Linux system administration
• Strong sense of ownership, independence, and accountability in task execution
• Good command of English (minimum B2, C1+ preferred)

• Global projects in clouds — we work with clients from all over the world based on modern cloud technologies
• Certification reimbursement — we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake
• Time to learn — 60 paid hours per year
• Flexible approach — you can choose to work from home or meet at our offices
• Personalized benefits — medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• flexible working time
• integration events
• no dress code
• leisure zone
• employee referral program
• charity initiatives
• Learning Time

Warszawa - Oferty pracy w okolicznych lokalizacjach