Cloud Data Engineer (AWS)

We’re looking for a Cloud Data Engineer (AWS) to join our client’s data team in the financial markets sector, helping design and deliver scalable, secure, and high-performing data solutions in the cloud.

Key Responsibilities

• Design and develop data pipelines and Lakehouse architectures (Iceberg; Hudi/Delta as a plus) on AWS and other public clouds.
• Build, automate, and maintain ETL workflows using Airflow, Step Functions, and related orchestration tools.
• Ensure high standards of reliability, automation, and security across all data solutions.
• Contribute to data strategy, architecture, and implementation best practices.
• Support incident resolution, root cause analysis, and share knowledge within delivery teams.
• Collaborate closely with architects, developers, and analysts.

• 3–5 years of experience building data pipelines on AWS (Azure/GCP a plus).
• Strong background in data solution design, ETL, and data architecture.
• Proficiency with Python, SQL, Spark, and DevOps/CI-CD practices.
• Experience with AWS services: Lambda, Glue, Step Functions, DynamoDB, Batch.
• Familiarity with Terraform or CloudFormation for Infrastructure as Code.
• Experience with Lakehouse architectures (Iceberg preferred) and pipeline orchestration.
• Knowledge of networking, IAM, and security within cloud environments.
• Experience with Docker and Linux environments preferred.
• Fluent in English; French is a plus.

• Employment Contract;
• Health Insurance;
• Meal Card;
• Gym Ticket;
• Hybrid Work (Porto, Portugal)