Data Engineer

Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.

With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.

Job Purpose:

We are seeking a highly skilled Full Stack Data Engineer to join our team on a Fulltime . This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices

Requirment:

·       Develop and maintain scalable ELT pipelines and data workflows

·       Design and implement data models and warehouse structures

·       Build full stack data applications and backend services

·       Develop Snowflake-based data solutions within cloud environments

·       Write high-quality Python and SQL code

·       Implement automated testing frameworks

·       Develop reusable data engineering frameworks

·       Build and maintain CI/CD pipelines using GitHub

·       Create reporting and visualization solutions (e.g., Power BI)

·       Monitor and resolve production issues ensuring data reliability

·       Experience with automated testing and framework development