Azure Specialist

D-ploy

About The Position

D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. 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!

Requirements

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

Responsibilities

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.