Join a dynamic team at a leading asset management firm as a Senior Data/AI Application Engineer. You'll play a crucial role in developing AI-native applications and managing data pipelines using cutting-edge technologies.
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 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 decision-making processes.
In your day-to-day work, you'll write SQL for data modeling, transformation, and reporting. You'll also implement data quality controls and ensure proper logging and lineage tracking across the pipelines. Collaborating with other teams, you'll integrate APIs and utilize Azure DevOps to streamline workflows.
This position is ideal for experienced professionals with a strong background in data engineering and a keen interest in AI technologies. You should be comfortable working with various tools, including Azure Data Factory, Databricks, and AI tools like Claude Code or GPT Codex. If you're looking to make a significant impact in a fast-paced environment, this role could be a great fit for you.
Key requirements include practical experience with data pipeline development, proficiency in SQL, and familiarity with Azure DevOps. A passion for AI and a commitment to maintaining high data quality standards will set you apart in this exciting opportunity.
You'll be taken to the original listing on PNet to apply.