What you'll do
As a Data Engineer at Regnology, you will be part of a multidisciplinary engineering team working at the intersection of business, regulatory requirements, and modern data platforms. You will design and build scalable data processing solutions that support complex reporting and analytical use cases for both internal teams and external stakeholders.
You will work primarily on backend data platforms, focusing on data modeling, database design, and efficient data processing pipelines implemented in Python.
Your responsibilities will include:
You will work primarily on backend data platforms, focusing on data modeling, database design, and efficient data processing pipelines implemented in Python.
Your responsibilities will include:
- Design, develop, and maintain scalable data processing pipelines using Python
- Design and optimize data models and database schemas following best practices and industry standards
- Build efficient and performant data storage structures for large and complex datasets
- Develop and maintain ETL / ELT processes for structured and semi-structured data
- Design and develop data-focused microservices using Python
- Work with data formats such as XML, JSON, and similar; experience with XBRL, DPM, SDMX is a strong plus
- Ensure data quality, consistency, traceability, and performance across the data lifecycle
- Collaborate closely with data architects, analysts, and domain experts to translate requirements into robust technical solutions
- Write clean, maintainable, and well-tested code, following development standards and participating in code reviews
- Support system integration via APIs and messaging-based communication
- Participate in Agile ceremonies and contribute to the continuous improvement of engineering practices