
51 - 200 employees
Founded 2020
💳 Fintech
🏦 Banking
🔌 API
Fintech • Banking • API
Trio is a Brazilian fintech and payments platform that provides enterprise-grade payment infrastructure, corporate cards, structured credit, investment management and low-latency Pix (instant payments) services. It offers APIs, a sandbox, and a management console for businesses and platforms to embed payments, checkout, FinOps and credit capabilities, and is audited/related to the Brazilian Central Bank for regulatory compliance. Trio primarily serves institutional and business customers seeking scalable, bank-regulated financial tooling.
🕒 May 8
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2020
💳 Fintech
🏦 Banking
🔌 API
Fintech • Banking • API
Trio is a Brazilian fintech and payments platform that provides enterprise-grade payment infrastructure, corporate cards, structured credit, investment management and low-latency Pix (instant payments) services. It offers APIs, a sandbox, and a management console for businesses and platforms to embed payments, checkout, FinOps and credit capabilities, and is audited/related to the Brazilian Central Bank for regulatory compliance. Trio primarily serves institutional and business customers seeking scalable, bank-regulated financial tooling.
• Serve as the technical reference for the architecture, operation and evolution of the company’s data platform • Manage critical, high-availability and high-volume database environments • Perform advanced performance tuning on PostgreSQL, TimescaleDB and ClickHouse • Conduct bottleneck analyses, architectural reviews and optimization of queries and workloads • Design and evolve data pipelines and integrations between internal systems, partners and financial institutions • Participate in defining partitioning, retention, replication, compression and scalability strategies • Oversee vitals and observability of data environments, tracking metrics such as availability, latency, throughput and resource usage • Plan and implement changes in critical databases with a focus on operational safety and risk minimization • Support engineering and product teams in modeling data-driven solutions • Perform advanced troubleshooting and incident response related to the data layer • Contribute to the development of best practices for governance, security and resilience of the platform • Provide automations, technical documentation and operational standardization • Support strategic decisions regarding the technological evolution of the company’s data stack
• Solid experience as a Data Engineer, Senior DBA or in related roles within critical environments • Advanced knowledge of PostgreSQL • Hands-on, in-depth experience with TimescaleDB • Proven experience with ClickHouse in high-volume production environments • Strong expertise in database tuning, query execution analysis, indexing, partitioning and optimization strategies • Experience working in mission-critical environments that require high availability and low latency • Familiarity with replication, backup, recovery and operational continuity strategies • Knowledge of data modeling and designing performance-oriented architectures • Experience with Linux and infrastructure troubleshooting related to databases • Familiarity with observability and monitoring of data environments • Knowledge of automation and infrastructure-as-code • Strong analytical skills and a strong sense of ownership • Ability to work autonomously in complex, high-responsibility scenarios • Excellent technical communication and collaboration with multidisciplinary teams
• Competitive compensation and performance incentives • Hybrid work model • Unlimited snacks • Opportunities and support to keep learning and studying new technologies — your growth is part of ours • Participation in highly complex technical projects with direct impact on the Brazilian financial ecosystem • Highly collaborative environment, technical autonomy and space for ownership
Apply Now🕒 November 7, 2025
201 - 500
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
Data Engineer responsible for collaborating with Data Scientists and Analysts to build data ingestion and transformation workflows. Proficient in Python, SQL, and cloud services with hybrid work arrangement.
Airflow
Amazon Redshift
Apache
AWS
Azure
BigQuery
Cloud
Django
Docker
DynamoDB
Flask
Google Cloud Platform
Jenkins
Kafka
MongoDB
MySQL
NoSQL
Numpy
Pandas
Postgres
Python
Spark
SQL
Terraform