AWS Data Engineer

Our Client Our client is a fintech-software company , part of a leading European financial group, delivering advanced software solutions and data-driven services . They specialise in banking-tech platforms and data engineering , supporting the groups digital-transformation ambitions. Responsibilities: Data Pipeline Development Design and implement cloud-based data pipelines to transform raw data from multiple sources (e.g. APIs, FTP, SFTP ) into structured and consumable formats. Architect and deploy high-performance data pipelines (batch and streaming), including monitoring and alerting mechanisms for data analysts and business users. Data Management Build and manage large-scale, complex datasets that meet functional and non-functional business requirements. Support data governance initiatives , including metadata cataloguing and documentation. Implement functional and non-functional data tests to ensure quality and reliability. Data Modelling and Analysis Design data models and create appropriate database objects such as tables, views, procedures, and scripts . Analyze and optimize queries to ensure performance and scalability. Collaboration & Production Support Contribute to monitoring, troubleshooting, and user support activities. Collaborate with cross-functional teams to gather requirements and deliver effective solutions. Continuous Improvement Develop code in line with established architectural standards , continuously improving scalability and performance . Stay current with industry trends and emerging technologies to evolve data engineering practices. Requirements: Mandatory Skills University degree in Engineering or a related field. Proven experience in data pipeline development on AWS , including S3, ECS, Lambda, RDS, SNS/SQS, IAM, and CloudWatch . Strong experience with analytical databases (SQL) and unstructured or graph data stores . Ability to write complex SQL queries ; experience with DBT Core is a plus. Proficiency in Python and data-focused libraries such as Pandas and Boto3 . Solid understanding of data platform architecture and data governance principles . Fluent in English , Portuguese and/or French is a plus Additional Assets Strong experience developing solutions on Snowflake . Hands-on experience with CI/CD practices . Experience using orchestration tools (e.g. Step Functions, Airflow, Prefect ). Familiarity with version control systems such as GitHub or GitLab . Exposure to data visualization tools (e.g. Tableau ) is a plus. Knowledge of Infrastructure as Code (e.g. CloudFormation, Terraform ). AWS certification (e.g. Solutions Architect or equivalent) is preferred. Snowflake certification (e.g. SnowPro Core ) is preferred.