Design, build, and maintain scalable data pipelines and infrastructure supporting Veepee's Business Intelligence ecosystem.
Develop and maintain high-performance Python-based services and APIs for data integration, automation, and operationalization of analytical models.
Build REST APIs with Flask and flask_restful.
Document and version APIs with Swagger or similar.
Apply best practices: error handling, validation, authentication/authorization, automated testing, and observability.
Own the orchestration, scheduling, and monitoring of data workflows and pipelines, ensuring data freshness and adherence to SLAs.
Collaborate with data governance, data engineers, data scientists, and data analysts in a young international team.

Have an engineering mindset and are passionate about building scalable, reliable data systems.
Highly organized with strong attention to detail and a commitment to quality.
Curious, proactive, and a natural problem-solver.
A strong team player who enjoys collaborating with technical and non-technical peers.
An excellent communicator, capable of explaining complex technical concepts clearly.
Proven experience as a Data Engineer, with a focus on building and maintaining data pipelines.
Experience with BI tools (e.g., MicroStrategy, Power BI, Tableau).
Solid command of SQL and data modeling fundamentals (design and optimization).
Experience developing in Python:
Building REST APIs with Flask and/or flask_restful.
API documentation with Swagger or similar.
Hands-on knowledge of dbt (modeling, tests, documentation, and data lineage).
Professional use of Git (branching, pull requests, code reviews) and exposure to CI/CD practices.
Familiarity with workflow orchestration (scheduling and monitoring jobs/pipelines).
Skilled at facilitating workshops and communicating effectively with stakeholders.
Fluent English (mandatory).

Data Engineer – BI

Key skills