Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience.

At least 5 years of experience in Data Engineering, with a focus on Analytics and BI.

Expert-level SQL skills.

Deep experience with PostgreSQL, including performance tuning and optimization.

At least 3 years of experience with Python for data processing, automation, and testing.

At least 3 years of experience designing and implementing large-scale data models.

Experience leading performance optimization in complex data systems.

Experience establishing and implementing Data Governance and Data Quality processes.

Proven ability to translate business requirements into data architecture and technological solutions.

Experience providing technical leadership, mentoring, and leading technological initiatives.

Experience building Data and Analytics platforms from scratch.

Proven experience integrating AI and LLM tools into development and data engineering processes.

Fast learning ability and curiosity for new technologies and methodologies.

Strategic thinking and broad system-wide perspective.

Ability to lead and influence without formal authority.

Ability to work independently and manage multiple tasks simultaneously.

High personal responsibility and ability to receive professional feedback.

Initiative, creativity, and ability to solve complex problems.

High motivation and constant drive for excellence.

Excellent interpersonal communication skills and ability to work with multiple stakeholders.

Ability to drive organizational change and lead technological innovation.

Main interfaces:

Reporting to a Team Lead / Department Lead.

Direct work with business users, additional development teams within the organization, and QA teams.