Hybrid Data Platform Engineer (Cloud & Data Lakes)

Macquarie Group; Houston (TX); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Wellbeing leave day per year

25 days annual leave

Parental leave (20 weeks)

Paid volunteer leave and donation-math

Health, life and disability insurance

Hybrid and flexible working

Job summary

Macquarie Group is seeking a Data Engineer to develop and maintain data products across cloud infrastructure, data-ingestion pipelines, APIs and orchestration platforms. The role emphasizes ownership of delivery in a flat engineering structure with modern tech.

You will contribute to technical strategy and solve complex problems. We value a strong DevOps background, hands-on Python development, and AWS experience, plus Linux hosting and SQL/data-lake knowledge.

Qualifications

• Strong DevOps background with experience solving problems and building automation in data and cloud environments.
• Hands-on Python development with testing experience and exposure to cloud technology; AWS preferred.
• Linux hosting platforms experience, with EKS and container experience viewed favorably.
• Understanding of databases, data lakes, query engines, SQL and DDLs.
• High attention to detail and a consistent focus on data quality and reliable delivery.

Responsibilities

• Develop and maintain data products across cloud infrastructure, automation, data-ingestion pipelines, APIs and orchestration platforms.
• Contribute to technical strategy, solve complex problems and take ownership of delivery using modern technologies.
• Collaborate with engineering, data science and analytics teams to support trading operations and decision-making.

Skills

DevOps background

Python development

Cloud experience

Data quality

Ownership and delivery

Tools

AWS

Kubernetes (EKS)

Docker

SQL

Linux/Unix

Job description

Macquarie Group is seeking a Data Engineer to develop and maintain data products across cloud infrastructure, data-ingestion pipelines, APIs and orchestration platforms. The role emphasizes ownership of delivery in a flat engineering structure with modern tech.

You will contribute to technical strategy and solve complex problems. We value a strong DevOps background, hands-on Python development, and AWS experience, plus Linux hosting and SQL/data-lake knowledge.