The Data Platform & Cloud Engineer will play a key role in designing, developing, and maintaining cloud data platforms while ensuring reliability, scalability, and operational excellence.

• Build and continuously evolve data platforms used by global teams and business stakeholders.
• Develop reusable frameworks, libraries, and engineering components to improve productivity and consistency.
• Automate deployment processes using CI/CD pipelines and modern DevOps practices.
• Design and maintain cloud infrastructure solutions focused on scalability, security, and governance.
• Ensure platform observability through monitoring, logging, and performance optimization practices.
• Contribute to architecture evolution and promote best practices in cloud and data engineering.
• Support the adoption of infrastructure-as-code approaches to improve automation and reliability.
• Collaborate with technical teams to deliver secure and efficient data solutions.
• Improve platform processes through continuous optimization and innovation.

Requirements:

The ideal candidate is a cloud and data engineering professional with experience building scalable platforms and working with modern DevOps practices.

• Hands-on experience with Microsoft Azure cloud services.
• Experience working with Databricks in cloud-based data environments.
• Strong knowledge of Python programming.
• Experience with Git workflows and CI/CD pipelines.
• Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or similar technologies.
• Experience designing, implementing, or supporting cloud data platforms.
• Understanding of data engineering concepts, architecture, and platform management.
• Ability to work effectively in global and collaborative environments.
• Professional English proficiency for communication with international teams.

Preferred qualifications:

• Experience with Unity Catalog.
• Knowledge of Delta Live Tables (DLT).
• Experience with Azure DevOps.
• Familiarity with Qlik Replicate or other Change Data Capture (CDC) tools.
• Experience implementing pipeline observability solutions.
• Knowledge of FinOps principles and cloud cost optimization.
• Azure or Databricks certifications.

Benefits:

• Profit-sharing and performance-based incentives.
• Health and dental insurance coverage.
• Flexible benefits card.
• Access to fitness and wellness programs.
• Mental health support resources.
• Language learning program.
• Partnerships with professional education platforms.
• Hybrid work model with flexibility.
• Flexible working hours.
• Internal training programs and structured career development plans.
• Mentorship opportunities.
• Extended parental leave.
• Childcare assistance.
• Continuous learning initiatives, including technical sessions, coding activities, knowledge-sharing events, and team experiences.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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