Burns & McDonnell Trainee Hiring 2027 – Mumbai | CSE, IT, Data Science
Burns & McDonnell Trainee Hiring 2027 – Mumbai | CSE, IT, Data Science
Introduction
Burns & McDonnell is hiring candidates from the 2027 batch for a Trainee position covering Computer Science Engineering, Information Technology, Data Science, Mathematics, and Statistics. The role is based in Mumbai, India, and is part of the company’s Engineering function under the CDB – Construction Technology team.
This full-time opportunity is focused on data integration, data engineering, analytics support, SQL, databases, ETL concepts, APIs, cloud-based data systems, and modern enterprise data platforms. It is designed for candidates who are interested in building their careers in data engineering, analytics, cloud technologies, and enterprise technology.
Quick Job Snapshot
| Company Name | Burns & McDonnell |
| Role | Trainee – CSE/IT/Data Science/Mathematics/Statistics |
| Qualification | Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or related field |
| Eligible Batch | 2027 |
| Experience | Not specified by the company. |
| Location | Mumbai, India |
| Work Mode | Work from office; 48 WFH days per year |
| Job Type | Full-time |
| Salary | As per Company Standards |
| Application Deadline | Open until filled; posting remains open for a minimum of 72 hours |
About the Role
The Burns & McDonnell Trainee role provides exposure to data integration, transformation, analytics, pipeline development, and enterprise data platforms. Selected candidates will work under the guidance of senior engineers and collaborate with developers, analysts, QA teams, and business stakeholders.
The role includes learning how data is integrated from multiple business systems and sources, supporting data pipelines, working with APIs and databases, and helping prepare structured and unstructured data for analytics and reporting.
Candidates will also gain exposure to automation, modern data engineering practices, machine learning concepts, AI integration, advanced analytics platforms, pipeline orchestration, workflow management, version control, testing, and change management.
Key Responsibilities
- Assist in integrating and maintaining data from multiple business systems and sources.
- Support the development and monitoring of data pipelines under the guidance of senior engineers.
- Learn and work with APIs, databases, file-based integrations, and cloud-based data systems.
- Help validate, clean, and organize structured and unstructured data for analytics and reporting.
- Participate in troubleshooting and resolving basic data-related issues.
- Support data transformation and preparation activities for reporting and analytics.
- Write and optimize basic SQL queries and scripts for data extraction and analysis.
- Assist teams in understanding business requirements and translating them into data-related tasks.
- Gain exposure to enterprise analytics, automation, and modern data engineering practices.
- Learn concepts related to machine learning, AI integration, and advanced analytics platforms.
- Collaborate with senior team members to understand data pipeline orchestration and workflow management.
- Assist in maintaining documentation for data processes, workflows, and technical activities.
- Learn software development best practices including version control, testing, and change management.
- Participate in internal learning programs, technical training, and knowledge-sharing sessions.
- Work closely with developers, analysts, QA teams, and business stakeholders.
- Support continuous improvement initiatives for data quality, efficiency, and reporting processes.
- Follow organizational standards related to data privacy, security, and governance.
- Demonstrate curiosity and proactive learning toward emerging technologies and enterprise platforms.
Qualification Requirements
Education: Candidates should have a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or a related field.
Academic Requirement: Candidates must have secured a minimum of 60% marks or an equivalent grade in the qualifying examination from a reputed university or institute in India.
Eligible Batch: Candidates must be passing out as part of the 2027 batch only.
Technical Requirements: Candidates should have a basic understanding of data engineering, databases, and ETL concepts. Foundational knowledge of SQL and relational databases is required.
Programming: Basic understanding of programming concepts using languages such as Python, Java, or similar technologies is expected.
Additional Technical Exposure: Academic exposure to cloud platforms, distributed systems, analytics tools, or enterprise data platforms is a plus. Familiarity with data visualization, APIs, or automation concepts is beneficial.
Communication: Candidates should have good verbal and written communication skills and the ability to work collaboratively in a team-oriented environment.
Work Schedule: The role requires candidates to be permanently available for the 2nd shift from 12:30 PM to 9:00 PM to coordinate with the US office for 3–4 hours.
Skills to Highlight in Your Resume
- Data Engineering
- SQL
- Relational Databases
- ETL
- Python
- Java
- Data Integration
- Data Pipelines
- Data Transformation
- Data Analytics
- APIs
- Cloud Platforms
- Distributed Systems
- Data Visualization
- Automation
- Pipeline Orchestration
- Version Control
- Testing
- Machine Learning Concepts
- AI Integration
- Problem Solving
- Communication and Teamwork
- Data Privacy and Governance
If you are preparing for a data-focused career, you can also explore our top data science interview questions for freshers and learn about highest-paying skills in 2026.
Why Consider This Opportunity?
This Burns & McDonnell opportunity can be relevant for 2027 graduates who want to start their careers in data engineering, analytics, cloud technologies, or enterprise data platforms. The role offers practical exposure to data pipelines, SQL, databases, APIs, data transformation, reporting, and enterprise analytics.
Candidates can also gain experience working with senior engineers and cross-functional teams while learning software development practices such as version control, testing, documentation, and change management.
Burns & McDonnell India describes its work as involving multidisciplinary engineering, architectural, and consultancy services across industries. The company also highlights collaboration, technology, professional development, and exposure to global teams.
Students planning their technology careers can also review our Gen AI interview questions and answers for freshers to prepare for emerging technology discussions.
How to Apply
- Open the official Burns & McDonnell application page for the Trainee CSE/IT/Data Science/Mathematics/Statistics position.
- Review the 2027 batch, 60% marks, qualification, shift, and work-from-office requirements carefully.
- Prepare an updated resume highlighting SQL, Python/Java, databases, data engineering, ETL, APIs, cloud, and relevant academic projects or internships.
- Complete the application form with accurate academic and personal details.
- Submit your application through the official Burns & McDonnell careers process.
- Monitor your registered email address and phone number for further communication.
Apply for Burns & McDonnell Trainee
Please verify the latest job details and application status on the official Burns & McDonnell careers page before applying.
Frequently Asked Questions (FAQs)
1. Who is eligible for the Burns & McDonnell Trainee role?
Candidates pursuing a Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or a related field can apply if they meet the stated requirements. The position is specifically for the 2027 batch and requires at least 60% marks or an equivalent grade.
2. Is this Burns & McDonnell position suitable for freshers?
The position is a Trainee campus recruitment opportunity for the 2027 batch. The job description does not specify prior professional experience as an eligibility requirement.
3. What skills should candidates highlight in their resumes?
Candidates should highlight SQL, relational databases, data engineering, ETL concepts, Python or Java, APIs, data pipelines, data transformation, cloud platforms, analytics, and relevant academic projects or internships.
4. Where is the job located and what is the work mode?
The position is based in Mumbai, India. The role requires working from the office, with 48 WFH days provided in a year. Candidates must also be ready to work permanently in the 2nd shift from 12:30 PM to 9:00 PM.
5. What is the salary for the Burns & McDonnell Trainee position?
The salary is not specified in the job description. It is As per Company Standards.
Conclusion
Burns & McDonnell Trainee Hiring 2027 is an opportunity for eligible 2027 graduates from CSE, IT, Data Science, Mathematics, Statistics, and related fields. The role provides exposure to data engineering, SQL, databases, ETL, APIs, cloud technologies, analytics, and enterprise data platforms.
Eligible candidates should carefully review the academic, work schedule, and office-based requirements and submit their applications through the official Burns & McDonnell careers process.
