Join a dynamic team at a leading asset management firm as a Senior Data/AI Application Engineer. You'll be at the forefront of AI-native development, building and maintaining data pipelines that drive business insights.
As a Senior Data/AI Application Engineer, you'll play a crucial role in a forward-thinking independent asset management firm. 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 passionate about the rapid advancements in AI and is eager to apply their coding skills in a meaningful way.
In your day-to-day work, you will write SQL for data modeling, transformation, and reporting layers. You'll also implement data quality controls, logging, and lineage tracking across the pipelines to ensure data integrity. Practical experience in building and integrating APIs is essential, as you will be working closely with Azure Data Factory, Databricks, and Azure DevOps.
The role suits individuals with a strong background in data engineering, particularly those who have experience with cloud technologies and AI tools. You should be comfortable working in a fast-paced environment and be excited about the potential of AI in data applications. A minimum of five years of relevant experience is required to ensure you can hit the ground running and contribute effectively to the team.
If you're ready to take on a challenging role that combines data engineering with cutting-edge AI technologies, this position offers a great opportunity to grow your skills and make a significant impact in the asset management sector.
You'll be taken to the original listing on PNet to apply.