Offer summary

Qualifications:

At least 4 years of experience in data engineering, both on-premises and in Azure., Proficiency with Azure Data Factory, Synapse, Data Lake, SQL Server, and SSIS., Strong knowledge of ETL/ELT processes, automation, and Power BI., Fluent in English and capable of working in international environments..

Key responsibilities:

Design and build data pipelines and data models within the Microsoft Azure ecosystem.

Implement and maintain cloud data solutions using Azure services.

Automate data workflows and optimize data processes.

Collaborate with teams to support data analytics and reporting needs.

We believed and founded this company on faith. Believe Solutions S.R.L. in Cochabamba; Bolivia is a nearshore tech company that comes from more than 20 years of different experiences in the international software industry. It represents the fusion of common believes, humanity, technology, and business. We believe in building well crafted, valuable, and usable technologies. We obtain this through direct and transparent communications and understanding our client´s needs. Satisfaction comes with our core technical practices, including highly qualified project management skills, continuous integration, test–routing programming, incremental design, and a single code base. We seek challenges and new experiences. We believe in an evolving technological world and the need to adapt to the changes within.

Job description

🚀 We’re hiring: Data Engineer (Microsoft Ecosystem)
📍 Remote – July 2025 Start

We’re looking for a Data Engineer with strong experience in designing and building data pipelines, data modeling, and cloud solutions—especially within the Microsoft Azure ecosystem.

✅ 4+ years of experience in data engineering (on-prem & Azure)
✅ Hands-on with Azure Data Factory, Synapse, Data Lake, SQL Server, SSIS
✅ Strong background in ETL/ELT, automation, and Power BI
✅ Fluent in English, able to work in international environments

🎯 Bonus if you have Microsoft certifications, experience with Databricks, Microsoft Fabric, or modern data architectures (Lakehouse, medallion).

Required profile