Database Engineer

At Rydoo, we make expense management simple, so people can focus on the important work, not their receipts. More than one million users trust us to submit, approve, and control expenses faster and smarter.

Semine shares that same mission. Since 2015, the team has been building AI technology that removes the repetitive, time-consuming parts of accounting, helping finance teams work smarter.

In July 2025, Semine joined forces with Rydoo to shape the future of financial automation. Together, we’re creating a complete, AI-powered platform that simplifies accounts payable and expense management, helping businesses run simpler, faster and smarter financial operations.

We’re a global team of +200 people who believe great tech should make life easier.

• 5-10+ years of experience in data analysis, database development, or data engineering
• High proficiency in Microsoft SQL Server / T-SQL, including complex queries, execution plans, index design, transactions, query optimization, and profiling tools
• Hands-on experience with Azure SQL Database / Managed Instance
• Strong experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Factory pipelines, OneLake, KQL/EventHouse, Direct Lake, SQL Endpoint, and Spark concepts
• Strong knowledge of data modeling, ETL/ELT processes, and database optimization
• Power BI / reporting experience, including data modelling, DAX fundamentals, report performance tuning, aggregations, composite models, and row-level security (RLS)
• Grafana dashboard design experience
• Base skills in KQL (Kusto Query Language)
• Python skills for automation scripts, data manipulation, and API requests
• Experience using VS Code and AI-assisted development tools such as GitHub Copilot, Claude, or similar
• Familiarity with DevOps practices in Azure (CI/CD for data pipelines)
• Solid understanding of data warehousing concepts
• Strong analytical and problem-solving skills
• Working proficiency in English (C1+)

• Develop, optimize, and maintain SQL queries, stored procedures, and data transformations
• Work with MS SQL Server and MS Fabric
• Design and maintain data models and ETL processes using Microsoft tools
• Build and maintain dashboards and reports using Power BI, Grafana, or similar visualization tools
• Collaborate with PM/EM to define reporting and analytics requirements
• Ensure high data quality, integrity, and consistency across systems
• Participate in the development and optimization of Azure-based data solutions
• Monitor and improve performance of data pipelines and queries
• Support data-related aspects of software development and analytics projects