Senior Data Architect & Engineer — Cloud Data Platform

A recruitment agency is seeking an experienced data engineer to design and maintain scalable data architectures and build robust ETL pipelines. The ideal candidate will have over 5 years of experience in data engineering, strong proficiency in SQL and programming languages like Python. They will ensure compliance with fintech regulatory requirements and collaborate closely with stakeholders on data strategies. This role is an opportunity to drive analytics and BI workloads on robust platforms. The successful candidate will be responsible for designing and implementing cloud-based data architectures, building scalable ETL pipelines, ensuring data quality and integrity, collaborating with cross-functional teams, and staying up-to-date with the latest trends and technologies in the field of data engineering. Key responsibilities include: • Designing and implementing cloud-based data architectures to support business needs; • Building robust ETL pipelines using tools like AWS Glue, Apache Beam, or Azure Data Factory; • Ensuring data quality and integrity through data validation, data cleansing, and data transformation; • Collaborating closely with stakeholders on data strategies and requirements; • Staying up-to-date with the latest trends and technologies in the field of data engineering. The ideal candidate will have: • Over 5 years of experience in data engineering; • Strong proficiency in SQL and programming languages like Python; • Experience working with cloud-based platforms such as AWS, Azure, or Google Cloud Platform; • Knowledge of fintech regulatory requirements; • Excellent communication and collaboration skills; • Ability to work independently and as part of a team. The successful candidate will have the opportunity to drive analytics and BI workloads on robust platforms, ensuring data quality and integrity through data validation, data cleansing, and data transformation.