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Sr. Software Developer - Data (Portugal)

Intermedia Intelligent Communications
PortugalHybrid9mo ago
Employment
Full-time
Seniority
Senior

About the role

About the Role

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

Diversity, Inclusion, and Equal Opportunity

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