Job Title: Senior AWS Data Engineer
Location: Lisbon Portugal
Work Regime: Fulltime & 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 cloudnative pipelines for structured and unstructured data integrating sources such as APIs FTP/SFTP.
- Build highperformance batch and streaming pipelines with integrated monitoring and alerting systems to support analytical use cases.
Data Management
- Manage largescale 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 nonfunctional 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 valuedriven 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
Requirements:
Essential Qualifications & Experience:
- Degree in Engineering Computer Science or a related field.
- Handson experience with AWS services (e.g. S3 Lambda ECS RDS SNS/SQS IAM CloudWatch).
- Advanced SQL programming skills and familiarity with analytical and nonrelational databases.
- Proficiency in Python and libraries such as Pandas and Boto3.
- Strong understanding of modern data architecture and governance best practices.
Valuable Additional Experience:
- Handson 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 growthoriented approach.
- Strong analytical and troubleshooting abilities.
- Detailfocused 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.
- Teamoriented proactive and eager to continuously learn and improve.