Join a dynamic team at a forward-thinking asset management firm as a Senior Data/AI Application Engineer. You'll be at the forefront of AI-native development, designing and maintaining data pipelines that drive business insights.
Innovative and forward-thinking
As a Senior Data/AI Application Engineer, you will play a crucial role in developing and maintaining data pipelines that support the firm's asset management operations. Your expertise in Azure Data Factory and Databricks will be essential as you design, build, and optimize ETL/ELT processes. This position is ideal for someone who is passionate about leveraging AI technologies to enhance data-driven decision-making.
In your day-to-day work, you will be responsible for writing SQL for data modeling, transformation, and reporting. You will also implement data quality controls and ensure proper logging and lineage tracking across all data pipelines. Your experience with API integration will be valuable as you work closely with other teams to ensure seamless data flow and accessibility.
The role suits individuals who thrive in a fast-paced environment and are eager to embrace new technologies. You should have a strong background in data engineering, with at least five years of relevant experience. Familiarity with tools like Power Automate, Power Apps, and Power BI will be beneficial, but your core focus will be on data pipeline development and AI integration.
If you are looking to make a significant impact in a company that values innovation and growth, this position could be the perfect fit for you. Bring your coding talents and passion for AI to a team that is shaping the future of asset management.
You'll be taken to the original listing on PNet to apply.