Senior Data Engineer / Data Architect (AWS)

Growmate; Porto; Presencial; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Career development with mentoring

Training, certifications, and a learning budget

Health insurance

Collaborative work environment

Resumo da oferta

A data solutions company is looking for a Senior Data Engineer/Data Architect in Porto. You will be responsible for designing cloud-based data platforms, leading large-scale data projects, and ensuring the efficient handling of complex datasets. Ideal candidates possess over 10 years of experience with AWS data services, and expertise in Python, SQL, and cloud architecture. This role offers opportunities for career development, training, and a collaborative work environment.

Qualificações

• 10+ years of experience with AWS data services
• Proven ability to manage large-scale data projects
• Strong knowledge of cloud architecture and best practices.

Responsabilidades

• Design and deploy scalable data solutions on AWS.
• Lead large data migration and optimization initiatives.
• Establish and enforce data governance and security standards.

Conhecimentos

AWS data services

Python

SQL

ETL processes

Cloud architecture best practices

Iceberg table management

Formação académica

Bachelor’s or Master’s degree in Computer Science, Engineering

Ferramentas

Terraform

Apache Airflow

Kafka

Descrição da oferta de emprego

Location: Hybrid, Porto

About the position:

We are seeking an accomplished Senior Data Engineer / Data Architect to take ownership of designing and implementing cloud-based data platforms on AWS. You will lead large-scale data projects, drive best practices for architecture, and ensure efficient handling of complex datasets.

What you will do:

• Design and deploy scalable data solutions on AWS, ensuring reliability, performance, and security
• Lead large data migration and optimization initiatives, coordinating with cross-functional teams
• Develop and maintain Infrastructure as Code templates (e.g., Terraform) for automated deployment
• Write and maintain high-quality code in Python and SQL for data workflows and prototypes
• Manage and optimize Iceberg tables and other large-scale datasets
• Implement and monitor ETL pipelines and orchestration tools like Apache Airflow or AWS Step Functions
• Establish and enforce data governance, security, and engineering standards
• Build and improve CI/CD pipelines for automated data deployments
• Collaborate with internal teams using both AWS and Azure technologies

What we are looking for:

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience
10+ years of experience with AWS data services, plus some exposure to Azure
Proven ability to manage large-scale data projects
Strong knowledge of cloud architecture and best practices
Expertise in Python, SQL, and Iceberg table management
Hands-on experience with ETL processes, Kafka, and orchestration tools
Fluent in Portuguese and English (C1 or higher)

Additional skills that will make you stand out:

Experience with streaming technologies such as Apache Flink or Kafka
Relevant cloud certifications (AWS, Azure, or equivalent)
Familiarity with data science and analytics platforms like Dataiku

What we offer?

• Career development with mentoring from tech leads and managers
• Personalized growth plans and regular feedback
• Training, certifications, and a dedicated learning budget
• Language courses
• Provision of technological equipment
• Health insurance
• Clear career path with progression opportunities
• Access to innovative projects (startups, scale-ups, internal products)
• Relaxed, collaborative work environment with a strong team spirit
• A culture of recognition

Ready to take the next step in your career?