We are a global engineering team within Macquarie Asset Management, building next generation platforms that transform how private markets originate, transact, and operate. Our team delivers innovative, scalable solutions that directly support deal teams and investment operations across regions.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

This is a great opportunity to work in the private markets space for one of Macquarie’s most successful global divisions.

Your role will involve creating and managing data pipelines using Python and SQL via technologies such as Airflow and DBT Cloud. You will work with the business teams to build quick prototypes based on business requirements, creating and maintaining data products.



This prospect will provide exposure to exciting technologies, including Google Cloud Platform (GCP) services like Big Query, to deliver and maintain highly scalable and robust data pipelines. You will be a valued member of our diverse team, will be a self-motivated team player and have excellent communication skills, enabling you to engage with all levels of stakeholders.

What You Offer

Have strong proficiency in SQL and python
Experience with data technology platforms such as Airflow, dbt Cloud, GCP Big Query
Understanding of APIs and excellent verbal and written communication to engage with all levels of stakeholders, and be able to speak of complex technical concepts to non-technical stakeholders in a clear and concise manner
Proficiency in cloud platforms such as AWS, GCP, Azure and related services
Familiarity with data architecture and data modelling
qualified B.tech, M.Tech, MBA with 4 to 7 years of post-qualification experience.

📌 Assistant Manager (Hyderabad)
🏢 Macquarie Group
📍 Hyderabad