Join a forward-thinking asset management firm as a Senior Data/AI Application Engineer. You'll design and maintain data pipelines while leveraging AI tools to enhance development processes.
As a Senior Data/AI Application Engineer at this independent asset management firm, you will play a crucial role in the company's shift towards AI-native development. Your primary responsibility will be to design, build, and maintain robust ETL/ELT data pipelines using Azure Data Factory and Databricks. This position is ideal for someone who is passionate about data engineering and eager to work with cutting-edge AI tools.
In your day-to-day work, you will write SQL for data modeling, transformation, and reporting layers. You will also implement data quality controls, logging, and lineage tracking to ensure the integrity of the data pipelines. Your experience with API integration will be essential as you work to connect various data sources and enhance the overall data architecture.
The role suits individuals who have a strong technical background and are comfortable working in a fast-paced environment. You should have at least five years of experience in data engineering, with a solid understanding of Azure Data Factory, Databricks, and SQL. Familiarity with tools like Azure DevOps, Power Automate, and Power BI will be beneficial, as will experience with AI tools such as Claude Code or GPT Codex.
If you are excited about the future of AI in data engineering and want to contribute to innovative projects, this position offers a great opportunity to grow your skills and make a significant impact within the company.
You'll be taken to the original listing on PNet to apply.