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Senior AWS Data Engineer

LUZA Group PortugalLisboa, 11, pt

Há +30 dias

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Job Description

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

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.

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.

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Senior Data Engineer • Lisboa, 11, pt