Join GoTymeX as a Senior Data Engineer in the Financial Crime team. You'll play a crucial role in building and maintaining data systems that help combat financial crime.
Innovative and focused on security
At GoTymeX, the Financial Crime team is dedicated to developing advanced data solutions that help identify and prevent financial crimes. As a Senior Data Engineer, you will be responsible for designing and implementing data pipelines, ensuring data integrity, and optimizing data workflows to support the team's goals. Your expertise will be vital in leveraging machine learning models to enhance the effectiveness of our systems.
In your day-to-day work, you will collaborate closely with data scientists and analysts to understand their data needs and translate them into technical solutions. You will also be involved in maintaining and improving existing data infrastructure, ensuring that it meets the highest standards of security and performance. Your role will require you to stay updated with the latest trends in data engineering and machine learning to continuously improve our processes.
Key responsibilities include: • Building and maintaining scalable data pipelines • Implementing machine learning models for financial crime detection • Ensuring compliance with secure coding practices • Collaborating with cross-functional teams to deliver data solutions • Conducting testing and quality assurance on data systems
This role is ideal for someone with a strong background in data engineering, particularly in the financial sector. You should have a solid understanding of cloud technologies and be comfortable working with machine learning frameworks. If you are passionate about using data to combat financial crime and have the skills to back it up, we would love to hear from you.
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