As an AI Data Engineer, you'll be at the forefront of building data solutions that drive AI innovation in a financial tech environment. This role is perfect for someone who enjoys working with data and collaborating with various teams to create impactful AI-ready datasets.
In this role as an AI Data Engineer, you will design and build data pipelines that are essential for advanced analytics and machine learning applications within a large financial technology setting. Your work will involve creating AI-ready datasets that empower data scientists and AI engineers, ensuring that the data is not only high-quality but also secure and compliant with governance standards. You'll collaborate closely with various teams, including AI Platform Engineering and MLOps, to develop robust data engineering capabilities that drive AI innovation.
Your daily responsibilities will include: • Designing and implementing scalable data pipelines • Ensuring data quality and security for enterprise applications • Collaborating with cross-functional teams to understand data needs • Maintaining governance and compliance standards in data handling
This position is ideal for someone with a solid background in data engineering and a passion for AI technologies. You should have experience in creating data products that support both real-time and batch processing. A strong understanding of data governance and security practices is crucial, as you will be responsible for maintaining the integrity of the data used across the organization. If you thrive in a collaborative environment and are eager to contribute to AI-driven solutions, this role could be a great fit for you.
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