Join a dynamic Independent Asset Management Firm as a Senior Data/AI Application Engineer. You'll work on cutting-edge AI-native development and play a key role in building and maintaining data pipelines.
As a Senior Data/AI Application Engineer at this Independent Asset Management Firm, you'll be at the forefront of AI-native development. Your main responsibility will be to design, build, and maintain robust ETL/ELT data pipelines using Azure Data Factory and Databricks. This role is perfect for someone who is passionate about leveraging data to drive insights and improve processes.
In your day-to-day work, you'll 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. Your experience with building and integrating APIs will be crucial in connecting various data sources and enhancing the overall data architecture.
The ideal candidate will have a strong background in Azure Data Factory and Databricks, along with practical experience in Azure DevOps. Familiarity with AI tools such as Claude Code or GPT Codex will be beneficial. This position requires at least five years of experience in data engineering or a related field, making it suitable for seasoned professionals looking to make an impact in a rapidly evolving industry.
If you're excited about the potential of AI and enjoy working in a fast-paced environment, this role could be a great fit for you. You'll be joining a team that values innovation and is dedicated to pushing the boundaries of what's possible with data.
You'll be taken to the original listing on PNet to apply.