Senior Aws Data Engineer - Lisboa

Senior Aws Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

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 :

Design and implement
- native pipelines for structured and unstructured data, integrating sources such as APIs, FTP / SFTP.
Build
- performance batch and streaming pipelines with integrated monitoring and alerting systems to support analytical use cases.

Data Management

Manage
- 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
- functional aspects.
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
- driven solutions.
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.
Hands-on experience with AWS services (e. g. , S3, Lambda, ECS, RDS, SNS / SQS, IAM, Cloud
Watch).
Advanced SQL programming skills and familiarity with analytical and
- 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 Git
Hub or Git
Lab.
Knowledge of data visualization platforms (e. g. , Tableau).
Experience with Infrastructure as Code tools (e. g. , Terraform, Cloud
Formation).
AWS and / or Snowflake certifications are a plus.

Soft Skills & Working Style :