Descrição da Empresa

Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it! At LUZA Group, passion, perseverance, and the drive to excel define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M. With a strong presence in key markets (Portugal, Spain, Morocco, Brazil, Mexico, the United States, and China) we deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Our people and their talent power everything we do. This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us?

Descrição da Função

Job Title: Senior AWS Data Engineer Location: Lisbon, Portugal Work Regime: Full-time & Hybrid First 6 months: 4x/week in the office and 1x/week at home; After 6 months: 3x/week in the office and 2x/week at home Overview / Summary: We are looking for a Senior AWS Data Engineer, to join our client, a tech company founded in 2016, that develops core software solutions for a leading financial group. With a strong focus on innovation, the company delivers secure, scalable platforms to support banking, wealth management, and compliance operations. Responsibilities and Tasks: Data Pipeline Development Design and implement cloud-native pipelines for structured and unstructured data, integrating sources such as APIs, FTP/SFTP. Build high-performance batch and streaming pipelines with integrated monitoring and alerting systems to support analytical use cases. Data Management Manage large-scale, complex datasets aligned with business needs. Support metadata management and contribute to data governance efforts. Develop and run data quality tests covering both functional and non-functional aspects. Data Modelling & Optimization Design database objects such as views, tables, and procedures to support data analytics. Optimize SQL queries and data models for performance and efficiency. Operational Support & Collaboration Support production systems including troubleshooting and user support. Collaborate with analysts, developers, and stakeholders to understand requirements and deliver value-driven solutions. Continuous Improvement Follow architectural and coding standards to ensure maintainability. Continuously evolve and optimize the platforms scalability and performance. Stay current with emerging tools, frameworks, and practices in data engineering.

Perfil

• Degree in Engineering, Computer Science, or a related field.
• Hands-on experience with AWS services (e.g., S3, Lambda, ECS, RDS, SNS/SQS, IAM, CloudWatch).
• Advanced SQL programming skills and familiarity with analytical and non-relational databases.
• Proficiency in Python and libraries such as Pandas and Boto3.
• Strong understanding of modern data architecture and governance best practices.
• Hands-on experience with Snowflake.
• Familiarity with CI/CD practices and orchestration tools (e.g., Step Functions, Airflow, Prefect).
• Experience with version control tools such as GitHub or GitLab.
• Knowledge of data visualization platforms (e.g., Tableau).
• Experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• AWS and/or Snowflake certifications are a plus.
• Agile mindset with a collaborative, growth-oriented approach.
• Strong analytical and troubleshooting abilities.
• Detail-focused with a commitment to performance and quality.
• Comfortable working in Agile environments and tools like Jira.
• Excellent interpersonal and communication skills.
• Fluency in English; Portuguese and/or French is a plus.
• Team-oriented, proactive, and eager to continuously learn and improve.

Oferta

• Seguro de saúde: cobertura médica abrangente para colaboradores Suporte psicológico: apoio e acompanhamento emocional Prémios de performance: incentivos para colaboradores que se destacam Política inclusiva: respeito à diversidade, incluindo direitos a piercings, tatuagens, igualdade de género Onboarding técnico: integração estruturada para facilitar adaptação inicial Ambiente colaborativo: incentivo à criatividade, inovação, e espírito de equipa

Localização

• Oliveira de Azeméis, Aveiro, Portugal,