Join a forward-thinking asset management firm as a Senior Data/AI Application Engineer. You'll design and maintain data pipelines while leveraging the latest AI tools and Azure technologies.
Innovative and tech-driven
As a Senior Data/AI Application Engineer at a leading 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 ideal for someone who is passionate about data engineering and eager to work with cutting-edge technologies.
In your day-to-day work, you will write SQL for data modeling, transformation, and reporting. You'll also implement data quality controls, logging, and lineage tracking across the pipelines to ensure data integrity. Familiarity with API integration is essential, as you'll be building and integrating APIs to enhance data workflows.
The role suits experienced data engineers who are comfortable working in a fast-paced environment and have a strong understanding of Azure tools. You should be proficient in Azure Data Factory, Databricks, and have a solid grasp of SQL. Experience with Azure DevOps, Power Automate, Power Apps, and Power BI will be beneficial, as will familiarity with AI tools like Claude Code or GPT Codex.
If you're ready to take your skills to the next level and contribute to a company that values innovation and technology, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.