Analytics Engineer II - Data Modeling & DBT

Planet Paymet; Porto; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Reasonable accommodations

Resumo da oferta

Planet Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. The Associate Analytics Engineer will own analytics‑ready data models, ensuring data quality and reliable delivery using dbt, SQL, and Snowflake.

You will collaborate with Analysts, Data Engineers, and stakeholders to transform raw data into clean, tested datasets. We offer a hybrid work model with three in-office days per week and a commitment to diversity and merit-based

Qualificações

• 3–6 years of experience in analytics engineering, analytics, or a closely related role.
• Strong SQL skills and experience working with analytics datasets.
• Practical experience using dbt for transformations, tests, and documentation.
• Experience working with a modern data warehouse (e.g. Snowflake).
• Familiarity with BI and analytics consumption patterns.

Responsabilidades

• Design and develop analytics models independently following established standards.
• Contribute to Gold‑layer models and analytics outputs under guidance.
• Apply dimensional modeling concepts to support analytics and BI use cases.
• Use dbt to build, test, and document analytics models.

Conhecimentos

SQL

dbt

BI patterns

Git workflows

CI checks

Incremental modeling

Ferramentas

Snowflake

Power BI

Descrição da oferta de emprego

Planet Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. The Associate Analytics Engineer will own analytics‑ready data models, ensuring data quality and reliable delivery using dbt, SQL, and Snowflake.

You will collaborate with Analysts, Data Engineers, and stakeholders to transform raw data into clean, tested datasets. We offer a hybrid work model with three in-office days per week and a commitment to diversity and merit-based