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. This role is perfect for those passionate about AI and data engineering.
Innovative and forward-thinking
As a Senior Data/AI Application Engineer at this independent asset management firm, you'll play a crucial role in the company's transition to AI-native development. Your primary responsibility will be to design, build, and maintain ETL/ELT data pipelines using Azure Data Factory and Databricks. This position is ideal for someone who is not only skilled in data engineering but also excited about the possibilities that AI brings to the field.
In your day-to-day work, you will write SQL for data modeling, transformation, and reporting layers, ensuring that data is accurate and accessible. You'll implement data quality controls, logging, and lineage tracking across pipelines to maintain high standards of data integrity. Additionally, practical experience in building and integrating APIs will be essential as you work with various data sources and tools.
The role suits individuals who are passionate about data and AI, and who thrive in a fast-paced, innovative environment. You should have a strong background in Azure Data Factory, Databricks, and SQL, along with familiarity with AI tools like Claude Code or GPT Codex. If you're looking to make a significant impact in a dynamic company, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.