Data Engineer

🔥 17 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

infoinfo

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of GFT Technologies

GFT Technologies

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Explore and analyze data to identify patterns, opportunities, and process improvements. • Develop and implement agents and multi-agent systems for automation, insight generation, and decision-making support. • Propose and implement process automation using concepts and tools such as n8n. • Integrate solutions with decision platforms (e.g., FICO) to optimize analytical processes. • Work with large volumes of structured and unstructured data, ensuring quality and consistency. • Apply GenAI concepts to automation, data enrichment, and insight generation. • Use graph techniques to identify complex relationships and opportunities in Customer Master Data, including the detection of connections, clusters, and relationship patterns between entities. • Monitor market trends and emerging technologies for application in the Customer Master Data domain. • Create analytical reports and executive presentations (PowerPoint) to communicate results clearly and strategically. • Document methodologies, processes, and results clearly and systematically.

🎯 Requirements

• Experience in data engineering or data analysis and the development of data-driven solutions. • Experience with AI projects and pipeline automation. • Knowledge of Python, SQL, Databricks, and PySpark. • Knowledge of CI/CD and version control with GitHub. • Strong understanding of ETL/ELT processes. • Familiarity with cloud environments, preferably Azure/Databricks and Google Cloud Platform (GCP). • Experience or a strong interest in agents and multi-agent systems applied to analysis and automation. • Understanding of data modeling and data quality. • Knowledge of Generative AI (GenAI) and modern automation tools. • Knowledge of graph modeling and analysis (e.g., Neo4j, Graph Data Science). • Experience with n8n or other automation tools. • Knowledge of Azure ML, Databricks, and AI platforms. • Participation in data governance or Master Data Management (MDM) projects. • Experience working on innovation and digital transformation initiatives. • Experience with decision platforms (e.g., FICO). • Experience with projects that use graphs to analyze relationships and uncover insights.

🏖️ Benefits

• Flexible benefits card – choose how and where to use it. • Tuition assistance for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.

Apply Now

Similar Jobs

🕒 Yesterday

IPIRANGA

51 - 200

🏭 Manufacturing

🚘 Automotive

Engenheiro de Dados Sênior desenvolvendo pipelines e arquiteturas Lakehouse em Azure Databricks. Contribuição para Analytics, IA e evolução da plataforma de dados da Ipiranga.

🗣️🇧🇷🇵🇹 Portuguese Required

Azure

Cloud

ETL

Kafka

PySpark

Python

Spark

SQL

Terraform

Unity

🕒 Yesterday

INEX

51 - 200

💼 Consulting

🏥 Healthcare

🏗️ Construction

Engenheiro de Dados pleno desenvolvendo e sustentando pipelines, ETL/ELT e integrações. Garantindo dados confiáveis para Engenharia, Analytics, Data Science, BI e negócios.

🗣️🇧🇷🇵🇹 Portuguese Required

AWS

Azure

Cloud

ETL

Google Cloud Platform

MySQL

NoSQL

Oracle

Postgres

SQL

🕒 2 days ago

Dadoteca

51 - 200

💼 Consulting

🏥 Healthcare

📣 Marketing

Engenheiro(a) de Dados Sênior sustentando e desenvolvendo pipelines Microsoft Fabric. Garantindo estabilidade, segurança e performance de soluções de dados da Dadoteca.

🗣️🇧🇷🇵🇹 Portuguese Required

Azure

ETL

PySpark

Python

SQL

🕒 2 days ago

Nestle

5001 - 10000

🍽️ Food & Beverage

🏭 Manufacturing

📦 Logistics

Data Engineer Coordinator liderando engenharia de dados com Snowflake, Databricks e Azure na Nestlé. Desenvolvendo agentes de IA, pipelines RAG e soluções analíticas corporativas.

🗣️🇧🇷🇵🇹 Portuguese Required

Azure

Cloud

Python

Spark

SQL

Unity

🕒 2 days ago

Spread Tecnologia

1001 - 5000

💼 Consulting

📣 Marketing

🏥 Healthcare

Engenheiro de Dados desenvolvendo pipelines batch e streaming na Spread Tecnologia. Otimizando data lakes, ETL/ELT e governança em ambientes GCP e AWS.

🗣️🇧🇷🇵🇹 Portuguese Required

Airflow

Amazon Redshift

AWS

BigQuery

Cloud

ETL

Google Cloud Platform

Kafka

MongoDB

Postgres

Python

Scala

Spark

SQL

Terraform