Senior AWS Data Engineer

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.

Requirements:

Essential Qualifications & Experience:

• 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.

Valuable Additional Experience:

• 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.

Soft Skills & Working Style:

• 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.

Envio de candidaturas: <endereço ocultado>

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