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Senior Data Engineer

Roles & Responsibilities

  • 3+ years of experience as a Data Engineer or in a similar data-focused role
  • Strong experience designing Data Lakes and Data Warehouses
  • Experience building ETL/ELT pipelines
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud

Requirements:

  • Design, build, and maintain data pipelines for processing large volumes of structured and unstructured data
  • Design and implement Data Lakes and Data Warehouses to support analytics and reporting
  • Integrate data from multiple sources using ETL/ELT processes
  • Support business intelligence platforms such as Power BI for reporting and dashboards

Job description

At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.

We are looking for a Data Engineer with strong experience in designing and building modern data architectures. This role will be responsible for developing scalable data solutions, designing data lakes and data warehouses, and ensuring reliable data pipelines that support analytics and business intelligence initiatives.

The ideal candidate has strong experience working with cloud platforms, data modeling, and large-scale data processing. Experience supporting BI tools such as Power BI is highly valued.


✨ Responsibilities

  • Design, build, and maintain data pipelines for processing large volumes of structured and unstructured data.

  • Design and implement Data Lakes and Data Warehouses to support analytics and reporting.

  • Develop and maintain scalable database architectures optimized for performance and reliability.

  • Integrate data from multiple sources using ETL/ELT processes.

  • Work closely with analytics and business teams to ensure high-quality data availability.

  • Optimize data models and storage solutions to improve query performance.

  • Implement data governance, security, and quality standards.

  • Support business intelligence platforms such as Power BI for reporting and dashboards.

  • Collaborate with cross-functional teams in a cloud-based environment.


✅ Requirements

  • Advanced English (B2+ / C1) for working in international environments.

  • 3+ years of experience as a Data Engineer or in a similar data-focused role.

  • Strong experience designing Data Lakes and Data Warehouses.

  • Experience designing and modeling databases.

  • Experience building ETL / ELT pipelines.

  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.

  • Strong knowledge of SQL and data modeling.

  • Experience integrating REST APIs or external data sources.

  • Familiarity with Power BI or other BI tools.

  • Experience working in agile development environments.


🌟 Benefits

  • 100% remote work from any LATAM country

  • Opportunity to work on international projects with multicultural teams

  • Culture that encourages professional development and continuous learning

  • Spaces for innovation, well-being, and career growth


Ready to take your talent to the next level?
At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨

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