We are looking for a passionate Mid / Senior Data Engineer to join a high-performing technical team. You will play a key role in designing, developing, and maintaining scalable data pipelines, ensuring reliability and data quality, while driving analytical data modeling using dbt to deliver business-ready datasets. This position offers the opportunity to work on challenging technical projects, including large-scale data processing, streaming, and Medallion architecture, while collaborating with dynamic and international teams.

Responsibilities

Design and maintain robust and scalable ETL/ELT data pipelines

Transform complex data sources into clean, reliable, production-ready datasets

Contribute to the implementation and evolution of a Medallion architecture (Bronze / Silver / Gold layers)

Develop and maintain dbt data models and orchestrate pipelines using Prefect, Airflow, or Dagster

Ensure data quality and observability at every stage of the pipelines

Maintain and evolve messaging infrastructure (Apache Pulsar or equivalent)

Collaborate with product and engineering teams to deliver high-performing data solutions

Requirements

Minimum 2 years of experience in Data Engineering or a similar role

Strong proficiency in SQL and PostgreSQL

Hands-on experience with Python for data pipelines and transformations

Experience with dbt for modeling, testing, and documentation

Experience with at least one orchestration tool: Prefect, Airflow, or Dagster

Understanding of modern data architectures and distributed systems

Autonomy, sense of priorities, and team spirit

Benefits

Full-time position in a hybrid work environment

Work on complex technical projects at scale

Collaborate with a dynamic and highly skilled team

Real impact on data architecture and technical decisions

Opportunities for growth and skill development in an innovative environment