Join a dynamic Independent Asset Management Firm as a Senior Data/AI Application Engineer. You'll play a key role in developing AI-native applications and managing data pipelines using cutting-edge tools.
As a Senior Data/AI Application Engineer at a leading Independent Asset Management Firm, you'll be at the forefront of AI-native development. Your main responsibility will be to design, build, and maintain ETL/ELT data pipelines using Azure Data Factory and Databricks. This role is perfect for someone who is passionate about data engineering and eager to leverage AI tools to enhance data processes.
In your day-to-day work, you will write SQL for data modeling, transformation, and reporting. You'll also implement data quality controls, logging, and lineage tracking across the pipelines to ensure data integrity. A significant part of your role will involve building and integrating APIs, which will require practical experience with Azure Data Factory, Databricks, and Azure DevOps.
This position suits experienced data engineers who are excited about the rapid advancements in AI technology. You should have a strong background in data engineering principles and be comfortable working with various Azure tools. Familiarity with Power Automate, Power Apps, and Power BI will be beneficial, as these tools will enhance your ability to deliver robust data solutions.
If you're looking to make a significant impact in a tech-driven environment and are ready to tackle the challenges of AI-native application development, this role is for you. Bring your expertise and passion for data to a company that values innovation and forward-thinking solutions.
You'll be taken to the original listing on PNet to apply.