Senior Devops Engineer

Technologies we use

About the project

This is how we organize our work

This is how we work

Your responsibilities

• Build and optimize data pipelines and Lakehouse solutions in Azure Databricks.
• Develop data models, integrations and analytics capabilities.
• Work with modern data architectures, including Lakehouse, Data Mesh and governed self-service analytics.
• Create AI-powered applications and Generative AI solutions.
• Automate cloud environments using Terraform and CI/CD pipelines.
• Apply security, governance and data quality best practices.
• Optimize solutions for performance, scalability and cost efficiency.
• Collaborate with business and technical stakeholders to deliver reliable, production-ready solutions.

Our requirements

• 3-6 years of experience in cloud, data engineering or platform engineering.
• Hands-on experience with Azure, Azure Databricks and cloud-native services.
• Strong knowledge of Python, PySpark and SQL.
• Experience with ETL/ELT, Spark, Delta Lake and Lakehouse architectures.
• Understanding of Infrastructure as Code, CI/CD and cloud security principles.
• Interest in AI and Generative AI technologies.
• Strong problem-solving skills and ownership mindset.
• Fluent English.

Optional

• Experience with Terraform, MLflow or Databricks Genie.
• Knowledge of Azure Kubernetes Service (AKS).
• Exposure to MLOps practices.
• Azure, Databricks or HashiCorp certifications.

What we offer

• Work on enterprise-scale Data & AI platforms supporting one of the world's leading semiconductor companies.
• Access to the latest Azure, Databricks and Generative AI technologies.
• Learning platforms, technical communities and certification programs.
• Flexible working model, home office and international collaboration.
• Clear opportunities to grow your technical expertise and career within global Data & AI projects.

Development opportunities we offer

Benefits

Ready to turn data into real business impact?