Data Platform Engineer: Snowflake & Big Data

Phiture; Lisboa; Presencial; EUR 50 000 - 75 000; Tempo integral

Resumo da oferta

IBM Consulting is seeking a Data Engineer specializing in data platforms to design and implement data driven solutions on Big Data technologies. You will develop applications, APIs, and pipelines with a focus on Snowflake, dbt, Python, and SQL in production environments.

The role requires 2–3 years experience in data engineering or related roles, strong cloud familiarity (AWS/Azure/GCP), and the ability to translate business needs into scalable data architectures.

Qualificações

• 2–3 years in data engineering, analytics engineering, or related data platform role with hands-on technical experience.
• Solid Snowflake knowledge and modern data stack tools (dbt, SQL, Python).
• Ability to develop and maintain data pipelines, transformations, and SQL queries in production environments.
• Familiarity with cloud platforms (AWS, Azure, or GCP) including object storage, compute services, and IAM; version control workflows (GitLab or equivalent).
• Understanding of data architecture principles and Medallion-style data models.

Responsabilidades

• Design and develop data platform applications on Big Data technologies including API development.
• Write and debug code to deliver high quality data solutions.
• Apply NLP and analytics libraries to build robust data platforms.
• Implement Big Data technologies to support data driven solutions.
• Deliver high quality solutions meeting business needs.

Conhecimentos

Data engineering

Analytics engineering

SQL

Python

Cloud platforms knowledge

Formação académica

Master's Degree

Ferramentas

Snowflake

dbt

Terraform

GitLab

Descrição da oferta de emprego

IBM Consulting is seeking a Data Engineer specializing in data platforms to design and implement data driven solutions on Big Data technologies. You will develop applications, APIs, and pipelines with a focus on Snowflake, dbt, Python, and SQL in production environments.

The role requires 2–3 years experience in data engineering or related roles, strong cloud familiarity (AWS/Azure/GCP), and the ability to translate business needs into scalable data architectures.