Must have

• Data

• Azure SQL Database

• Azure SQL Managed Instance

• SQL performance tuning

• Query optimization

• Data modeling

• ETL/ELT pipelines

• Data integration

• Azure Data Factory

• Azure Data Lake

• CI/CD

• Git

• Agile workflow

• English

Nice to have

• Power BI

• Databricks

• Synapse Analytics

• Security and Compliance

• Maturity

• Assessment platforms

Requirements description

• Proven experience as a Senior Data Engineer or Data Architect
• Strong expertise in Azure SQL Database and Azure SQL Managed Instance
• Deep knowledge of SQL performance tuning and query optimization
• Experience with data modeling, ETL/ELT pipelines, and data integration
• High-level understanding of data architecture principles and patterns
• Hands-on experience with Azure Data Factory, Azure Data Lake, or other Azure data services
• Familiarity with CI/CD, Git, and agile workflows

Nice to Have

• Experience with Power BI, Databricks, or Synapse Analytics
• Familiarity with security and compliance standards in the data domain
• Knowledge of AI/ML integration in data pipelines
• Previous work on maturity or assessment platforms is a plus

Offer description

What We Offer

• 100% remote work with flexible hours
• Opportunity to shape a high-impact platform used by global organizations
• Long-term project with potential for growth and ownership
• Competitive compensation based on experience

Your responsibilities

1. Maintain and optimize Azure SQL Database and Azure SQL Managed Instances
2. Design, implement, and manage data pipelines to support real-time and near real-time data exchange
3. Analyze and improve complex SQL queries and performance bottlenecks
4. Work closely with solution architects and product teams to propose architectural changes and data model improvements
5. Monitor and troubleshoot data issues, proposing sustainable and scalable fixes
6. Contribute to the overall data architecture strategy and ensure alignment with business needs