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. If you have big ideas and want to build something that actually helps people, you’ll fit right in. Rydoo / Semine in a snapshot Ambitious international team 33 nationalities speaking over 15 languages 240+ employees across multiple countries Easy-to-use spend management app available on iPhone and Android Supporting over 10,000+ clients and 1 million+ users worldwide 4.6 employer score on Glassdoor Hybrid work policy The Role At Rydoo / Semine, we build smart, simple solutions that help people spend less time on expenses and more on what matters. We are looking for a skilled Data Engineer with strong experience in database systems, data processing, and analytics within a Microsoft-centric ecosystem. The ideal candidate combines deep SQL expertise, programming capabilities, and analytical thinking to drive insights from complex datasets and support data-driven decision-making for both internal data and our customers through our SaaS solution. As a Data Engineer, you will: 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