R

Rydoo

Cloud expense management with OCR automation

Database Engineer - Expense Management

Data Engineering +1Confirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listed

About the Job

Requirements

  • Five to ten or more years of experience in data analysis, database development, or data engineering.
  • High proficiency in Microsoft SQL Server and T-SQL, including complex queries, execution plans, index design, transactions, query optimization, and profiling tools.
  • Hands-on experience with Azure SQL Database or 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 and reporting experience, including data modeling, DAX fundamentals, report performance tuning, aggregations, composite models, and row-level security.
  • 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, including CI/CD for data pipelines.
  • Solid understanding of data warehousing concepts.
  • Strong analytical and problem-solving skills.
  • Working proficiency in English at C1 or higher.

Responsibilities

  • Develop, optimize, and maintain SQL queries, stored procedures, and data transformations.
  • Work with Microsoft SQL Server and Microsoft 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 product and engineering managers 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 the performance of data pipelines and queries.
  • Support data-related aspects of software development and analytics projects.

About the Company

Rydoo

Cloud expense management with OCR automation

Rydoo provides a cloud-based expense management platform that automates how businesses handle employee expenses through web and mobile apps. It uses OCR to extract data from receipts, supports mileage and per-diem calculations, and includes multi-level approval workflows with real-time analytics and policy alerts. The service integrates with major accounting, ERP, and HR systems (e.g., SAP, Oracle, Microsoft Dynamics, Xero, QuickBooks) and scales from about 50 employees to large enterprises, serving over a thousand clients. The goal is to simplify and automate corporate expense workflows, ensure policy compliance, and give clear spend insights across the organization.

Company size
201-500
Company stage
Series A
Total funding
$8.6M
Headquarters
Antwerp, Belgium
Founded
2011

Recently Posted Jobs

Explore more opportunities at Rydoo

See more jobs