Data Engineer

About Blyce 

Blyce has been driving the digital transformation of governments and communities in over 20 countries for more than 40 years. Our platforms and services power critical systems in taxation, social security, and permits & licensing. These solutions create tangible improvements in citizens’ daily lives, especially in small islands and developing nations. We work with a multicultural team of 175+ professionals across Curaçao, the Netherlands, Colombia, Bonaire and Malaysia. With passion and purpose, we build technology that matters. 

About the role

As a Senior Data Engineer at Blyce, you design, develop, maintain, and optimize the data pipelines and data warehouse solutions that support our products and clients. Take ownership of the full data integration lifecycle, from source systems to reliable and performant data warehouse solutions. Working primarily with Microsoft SQL Server and SSIS, you improve existing processes, build new integrations, troubleshoot complex data issues, and ensure data quality and performance. 

What will you do?

Your main responsibilities focus on building reliable, scalable, and maintainable data solutions:

• Design, develop, maintain, and optimize ETL processes supporting our products, clients, and other data sources.

• Maintain and improve existing SSIS packages and develop new integrations when required.

• Develop and optimize T-SQL solutions, including stored procedures, views, functions, and triggers.

• Design and maintain data warehouse structures and dimensional models, including fact and dimension tables and incremental data loads.

• Monitor and optimize ETL, SQL, and database performance, including solutions processing large data volumes.

• Ensure data quality and reliability through validation, reconciliation, logging, monitoring, and error handling.

• Investigate and resolve production issues related to ETL processes, databases, performance, and data quality.

• Maintain solutions in Git, participate in peer reviews, and contribute to development and data engineering standards.

• Support DevOps, testing, and deployment processes for databases, data warehouses, and ETL solutions.

• Collaborate with internal teams and, when needed, clients to translate requirements and complex data problems into practical technical solutions.

• Support downstream reporting solutions such as Power BI and SSRS and adapt to new data sources and technologies as our platform evolves.