8 engineer English-speaking jobs in Bragança District

Open positions: Data Engineer— ELT/ETL, orchestration, batch/streaming, data quality Data Platform Engineer ... data-driven insights Data Governance Lead— data catalog, lineage, stewardship, access management ML Engineer ... observability, FinOps Data Architect— target data architecture, integration patterns, standards Analytics Engineer

We're looking for a Senior or Lead Full Stack Engineer to join a greenfield engineering initiative focused

Believe us - their work turns bold ideas into reality.The Role As a Automation Engineer you will be responsible

, or Senior Camunda Engineer. - Deep expertise in: - Camunda BPM Platform - BPMN and DMN - Workflow automation ... non-technical stakeholders.Required Skills & Experience- Proven experience as a Camunda Architect, Lead Camunda Engineer

Design and develop automated tests using Playwright or other programming languages for frontend and backend components. Collaborate with engineering teams to identify test scenarios and requirements. Ensure the scalability and maintainability of automated test suites.

Senior Analytics Engineer will design, build, and maintain scalable dbt models, ensuring Snowflake data assets are clean and trusted. Responsibilities include optimizing Snowflake queries, managing database structures, and partnering with Data Platform/Engineering on ingestion pipelines. Requires 5+ years of experience in analytics engineering, data engineering, or a related field with expert-level dbt and Snowflake expertise.

Experienced Kotlin/Java Backend Developers sought to design, implement, and maintain robust, scalable backend solutions. Contribute to the entire software development lifecycle in an Agile environment. Expertise in Terraform, unit testing, Git, CI/CD pipelines, Kafka, Kubernetes, GraphQL Federation, and Azure Cloud environments is required.

Senior Data Engineer with 5+ years of experience in data engineering, data warehousing, or software engineering. Proficient in SQL, Python, distributed data processing systems (e.g., Apache Spark, PySpark, Databricks), and cloud platforms (AWS, Microsoft Azure, or GCP). Expertise in ETL/ELT methodologies and orchestration tools. Designs, optimizes, and mentors data engineering teams. Collaborates with data scientists and analysts.