We are looking for a Mid to Senior-level Microsoft Cloud Data Engineer with solid experience in designing, developing, and optimizing data solutions on the Microsoft cloud stack. You will play a key role in delivering scalable and efficient data pipelines and dashboards to support data-driven decision-making in the mining sector. You will work in a dynamic, Agile environment and collaborate with cross-functional teams to deliver high-quality analytics solutions.

Key Responsibilities:

• Design and implement robust data pipelines and ETL processes using Azure Data Factory (ADF).
• Build and optimize data models for analytical and reporting use.
• Create interactive and insightful dashboards using Power BI and Grafana.
• Ingest, transform, and manage large-scale datasets using Microsoft Azure Data Explorer (ADX/Kusto).
• Write efficient and well-documented SQL queries for data extraction and transformation.
• Monitor data flows, optimize performance, and troubleshoot issues in cloud data pipelines.
• Participate in Agile ceremonies and collaborate closely with data analysts, scientists, and business stakeholders.
• Maintain best practices for data governance, security, and quality.
  

Required Skills & Experience:

• 4–8 years of experience as a Data Engineer or in a similar role.
• Mining experience is essential.
• Strong experience with Microsoft Azure Data Services, especially Azure Data Factory (ADF) and Azure Data Explorer (ADX).
• Proficiency in SQL for data manipulation and querying.
• Hands-on experience with Power BI dashboarding and DAX.
• Exposure to Grafana for operational metrics or real-time monitoring dashboards.
• Solid understanding of Agile methodologies.
• Experience working with large datasets, preferably in the mining or heavy industry sectors.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to work independently in a remote setting.