iREMS Data Engineer
Description
- Assisting in integrating data from various sources into centralized data platforms
- Ensuring the quality and availability of data across data pipelines and storage systems
- Supporting the implementation of data models and data warehouse solutions
- Monitoring data workflows and assisting in troubleshooting
- Collaborating with team members and business stakeholders to fulfill data-related needs
- Preparing and maintaining documentation and data contracts related to data processes and systems
- Preparing and maintaining KPIs and dashboards
- Developing a strong understanding of the product to effectively test and contribute to its development from a data engineering perspective
- Strong problem-solving skills and attention to detail
- Willingness to learn new technologies and adapt quickly
- Ability to work both proactively and as part of a team
- Good written and verbal communication skills in English
- Solid knowledge of Python, SQL and relational databases
- Basic knowledge of ETL concepts and data integration best practices
- 2 - 3 years of related experience
- Bachelor's degree in an IT-related field or equivalent work experience
- Experience with data workflow tools such as Apache Airflow, dbt, or similar
- Understanding of data warehousing concepts such as star schema and snowflake schema
- Previous exposure to financial data and ERP systems
- Experience with AI technologies and their practical application in data analytics
- Fully remote work
- International work environment
- Solution-oriented company culture
- Competitive salary
- Regular team buildings with a dedicated and motivated team