Data Sr Engineer

CBRE Group, Inc.; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

CBRE Group, Inc. is seeking a Data Sr. Engineer to drive data-driven insights and robust reporting. You will coordinate data aggregation, curate complex reports, and build data pipelines to enable reliable insights for real estate operations.

The role emphasizes rigorous data validation, collaboration with agile teams, and the ability to present a clear data story to stakeholders at multiple levels. Strong SQL, Python, and BI tooling skills are required.

Qualifications

• Bachelor's degree preferred with 8+ years of relevant experience; combination with education considered.
• Ability to understand procedures and apply judgment to solve problems.
• Strong organizational skills and familiarity with data analysis workflows.

Responsibilities

• Coordinate data aggregation and curate complex reports using BI and reporting apps.
• Perform ad-hoc analyses of structured and unstructured data to reflect market insights.
• Develop data structures and pipelines to organize, cleanse, and standardize information.
• Define data requirements and gather information using statistical tests.
• Use programming and evaluation tools, including open-source programs to plan models and extract insights.
• Collaborate with agile team to communicate recommendations and improve processes.

Skills

Data analysis

SQL

Python

Education

Bachelor's degree (or higher)

Tools

Power BI

Excel

Open-source data tools

Job description

About the Role:

As a CBRE Data Sr. Engineer, you will perform a variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough data research.

This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.

What You’ll Do:

• Coordinate data aggregation and curate complex reports using various business intelligence and reporting applications.
• Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
• Develop data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights and address reporting needs.
• Define complex data requirements and gather information using judgment and statistical tests.
• Use programming and evaluation tools, including open-source programs to plan models and extract insights.
• Identify opportunities to maximize data usage. Apply modeling and optimization methods to develop new strategies and improve business performance.
• Develop ad-hoc reporting based on the review of existing data sources.
• Exhibit rigor, judgment, and ability to present a highly detailed 'data story' to many levels of the organization.
• Confirm the quality and integrity of new and existing data sources.
• Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
• Apply general knowledge of standard principles and techniques/procedures to accomplish assigned tasks and solve routine problems.
• Have a broad knowledge of one's own job discipline and some knowledge of several job disciplines within the function.
• Impact the quality of own work and the work of others on the team; work within guidelines and policies.
• Lead by example and model behaviors that are consistent with CBRE RISE values. May convince to reach an agreement.
• Work primarily within standardized procedures and practices to achieve objectives and meet deadlines.
• Explain complex information to others in straightforward situations.

What You’ll Need:

• Bachelor's Degree preferred with 8+ years of relevant experience. A combination of experience and education will be considered in lieu of a degree. Master’s degree preferred.
• Understanding of existing procedures and standards to solve slightly complex problems.
• Ability to understand possible solutions using technical experience to apply appropriate judgment and precedents.
• In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
• Strong organizational skills with an inquisitive mindset.