Senior Data Engineer - Financial Crime

At GoTymeX, the Financial Crime team is dedicated to developing systems that identify and prevent fraudulent activities. As a Senior Data Engineer, you will play a crucial role in building and maintaining these systems, ensuring they are efficient and effective in combating financial crime. Your expertise in data engineering will help shape the way the company approaches data-driven solutions in this critical area.

In your day-to-day work, you will collaborate with data scientists and other engineers to implement machine learning models and utilize tools like Agentic AI and MLFlow. You will also be responsible for ensuring that the coding practices are secure and that the systems are robust enough to handle sensitive data. Your work will directly impact the company's ability to detect and prevent financial crimes, making it a vital role.

This position is ideal for someone with a strong background in data engineering, particularly in financial contexts. You should have at least five years of experience in the field, with a solid understanding of cloud technologies and secure coding practices. If you are passionate about using data to make a difference and have the technical skills to back it up, this role could be a great fit for you.

Key responsibilities include: • Building and maintaining data pipelines • Collaborating with data scientists to implement machine learning models • Ensuring secure coding practices are followed • Working with cloud-based technologies to optimize data storage and processing

If you are ready to take on a challenging role in a company that values innovation and has a mission to combat financial crime, consider applying for this position at GoTymeX.