[Hiring] Azure Specialist @D-ploy

Role Description

We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us!

• Lead and Support Databricks Implementations
• Design, architect, and implement scalable data solutions using Azure Databricks. Define best practices, optimize performance, and ensure secure, maintainable deployments.
• Own Data Platform Architecture
• Contribute to the design and evolution of the Azure-based data platform, ensuring it meets business, scalability, and reliability requirements.
• Ensure Platform Stability & Operations
• Maintain and support day-to-day operations of the data and cloud infrastructure, proactively monitoring performance, troubleshooting issues, and ensuring high availability.
• Implement Best Practices & Governance
• Establish and enforce standards for cloud architecture, data engineering, security, and cost optimization across Azure services.
• Collaborate Across Teams
• Work closely with data engineers, analysts, DevOps, and business stakeholders to align technical solutions with business needs.
• Optimize Performance & Costs
• Continuously analyze workloads and infrastructure usage to improve efficiency, scalability, and cost-effectiveness within Azure.
• Drive Automation & DevOps Practices
• Implement CI/CD pipelines, infrastructure as code (IaC), and automation for deployment and operational processes.
• Provide Technical Leadership
• Act as a subject matter expert for Azure and Databricks, mentoring team members and guiding technical decisions.
• Support Data Engineering Workloads
• Enable and optimize ETL/ELT pipelines, data ingestion, transformation, and orchestration processes.
• Ensure Security & Compliance
• Apply Azure security best practices, including identity management, access control, and data protection.

Qualifications

• Azure data platform components such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure SQL
• Setting up cloud-based data pipelines and/or managing data infrastructure in the cloud
• Infrastructure-as-code concepts (e.g. ARM, Terraform)
• Familiarity with DevOps principles and CI/CD
• Python programming
• Experience working in Agile / Scrum teams
• Ability to explain technical topics to non-technical stakeholders
• Service-oriented, resourceful, and proactive with good follow-up
• Excellent communication skills in English

Benefits

• Fishing for Friends program – our referral program
• Refreshments in the D-ploy office
• Further development and professional advancement
• Friendly and international working environment
• Company-sponsored events