- Location
- Portugal
- Workplace
- Remote
- Type
- Full-time
- Department
- IT
- Experience
- 5+ years
- Source
- Pinpoint
Description
Sr. Software Developer - Data (Portugal)
Department: Dev & Engineering
Employment Type: Full Time
Location: Portugal
Description
You’ll be instrumental in designing and building modern, cloud-first services that interact with large volumes of data, while also navigating and improving upon legacy systems. If you enjoy solving complex data problems through robust backend services and want to help modernize our platform, we want to hear from you.
What you will be doing:
- Design and develop scalable microservices and APIs using Java and Spring Boot
- Build services that support high-volume data ingestion, processing, and access
- Integrate backend services with both modern cloud data platforms and legacy systems
- Write and optimize SQL queries and stored procedures to support application features and data pipelines
- Collaborate with Data Engineers, Analysts, and Product teams to deliver high-quality, well-tested solutions
- Ensure data integrity, availability, and performance across systems
- Participate in code reviews, architecture discussions, and CI/CD processes
- Write unit, integration, and data tests to support reliable delivery
- Contribute to system modernization efforts, replacing legacy components with scalable cloud-native services
- Deploy and manage services in containerized environments using Kubernetes and Helm
What you will bring to the role:
- 5+ years of experience in backend software engineering or data-focused software development
- Strong programming skills in Java with Spring Boot for microservices development
- Solid understanding of SQL and relational database design, performance tuning, and data modeling
- Experience building and consuming RESTful APIs
- Familiarity with ETL/ELT concepts and data integration techniques
- Proficient in working with CI/CD pipelines and Git-based version control
- Experience with unit testing frameworks (e.g., JUnit, Mockito) and integration testing
- Hands-on experience deploying applications in Kubernetes environments using Helm charts
- Practical experience with Snowflake and dbt is desirable
- Exposure to cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code is a plus
- Knowledge of messaging or event streaming tools (e.g., Kafka, RabbitMQ) is a bonus
- Strong communication skills, able to collaborate across data and software engineering teams
- Adaptable in a hybrid environment with both legacy and modern systems
- A pragmatic mindset for delivering production-quality software while reducing technical debt
- Comfortable working with ambiguity and legacy codebases
- Passion for automation, performance optimization, and clean architecture