
10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
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.
🕒 6 days ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1987
🔒 Cybersecurity
📋 Compliance
☁️ SaaS
Cybersecurity • Compliance • SaaS
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.
• Organize, collect and process large volumes of data (ETL tools), translating the client's business objectives into an information management and business intelligence strategy. • Responsible for maintaining data pipelines and ensuring secure access to information. • May also include creating and exposing metrics (dashboards) based on the collected data, thereby ensuring data quality and integrity.
• Experience in data ingestion, transformation, and loading (ETL tools); • AWS Cloud: Glue, EMR, Athena, SNS, Lambda, Step Functions; • Data modeling and NoSQL databases: MongoDB, DynamoDB, and Hadoop; • Programming languages: Python / PySpark; • Execution of unit tests and performance testing. • AWS Practitioner and AWS Data Engineer certifications (preferred). • Experience with data quality and observability (preferred). • Experience with infrastructure-as-code tools (Terraform, CloudWatch) (preferred).
• Multi-benefit card – choose how and where to use it. • Scholarships for undergraduate, graduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career plan. • Opportunities for international career progression. • Wellhub and TotalPass. • Private pension. • Childcare assistance. • Medical assistance. • Dental care. • Life insurance.
Apply Now🕒 6 days ago
201 - 500
Senior Data Engineer managing strategic data projects to implement scalable solutions. Collaborating across teams to translate business needs into data engineering solutions.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
AWS
Cloud
Kafka
Kubernetes
PySpark
Python
SQL
🕒 6 days ago
201 - 500
Senior Data Engineer contributing to data solutions from business needs to implementation. Working with strategic projects at Extractta, driving data excellence and quality.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
AWS
Cloud
Kafka
Kubernetes
PySpark
Python
SQL
🕒 6 days ago
201 - 500
Data Engineer responsible for developing scalable data pipelines and solutions at Extractta. Collaborating with multidisciplinary teams to translate business needs into engineering solutions.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
AWS
Cloud
Kafka
Kubernetes
PySpark
Python
SQL
🕒 6 days ago
Engenheiro(a) de Dados Sênior atuando em sustentação de projetos de dados com forte conhecimento técnico e perfil proativo. Contribuindo para a evolução de soluções e melhoria contínua dos processos.
🗣️🇧🇷🇵🇹 Portuguese Required
MongoDB
Python
🕒 6 days ago
Data Engineer managing data pipelines and model data solutions while supporting engineering and business teams at Intelipost. Contributing to data-driven discussions and implementing engineering best practices.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Azure
Cassandra
DynamoDB
Google Cloud Platform
MongoDB
SQL