Senior Azure Data Engineer/Analyst (Azure)

TL;DR

Senior Azure Data Engineer/Analyst (Azure): Building and maintaining Azure-based data pipelines, analytical models, and dashboards with an accent on end-to-end reliability, scalability, and performance. Focus on complex SQL and Kusto querying, data integration across on-premises and cloud sources, and translating operational and business KPIs into actionable intelligence.

Location: Brazil

Company

hirify.global helps enterprises transform AI potential into real business impact through data, AI, and tech-integrated solutions.

What you will do

• Design and maintain data pipelines and solutions on Azure using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake.
• Build dashboards and analytical reports in Power BI and Tableau to support strategic and operational decision-making.
• Develop data modeling and integration processes across on-premises and cloud sources to deliver reliable datasets for analytics.
• Write complex SQL and Kusto queries and implement scripts and REST API calls for large-scale data collection and processing.
• Manage cloud cost awareness for compute and storage resources, proposing optimizations balancing performance and efficiency.
• Act as a technical reference for application and business teams, promoting best practices in data engineering, modeling, and BI tooling while collaborating in Agile/Scrum with Jira.

Requirements

• English: C1 or above (reading, writing, and spoken communication) to work independently with onsite and offshore stakeholders.
• Experience in Business Intelligence, Data Engineering, or Analytics.
• Strong command of the Azure platform, specifically Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake.
• Proven experience building analytical models and dashboards in Power BI and Tableau.
• Excellent proficiency in complex SQL and Kusto queries.
• Experience with Agile/Scrum and project management tools such as Jira.

Nice to have

• Experience with ETL tools, especially Talend and Azure Data Factory.
• Knowledge of data modeling with Native HANA, TDV, or advanced SQL scripting.
• Familiarity with Microsoft Fabric.
• BI or Azure cloud certifications, especially Azure PL-300.
• Domain knowledge in Logistics and SAP.

Culture & Benefits

• Remote homeoffice setup.
• Work with distributed onsite and offshore stakeholders.
• Agile/Scrum collaboration with Jira for autonomous task prioritization.
• Support and accommodations during the selection process, including help obtaining the required assessment if needed.