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McKinsey & Company is an American management consulting firm. McKinsey has published the McKinsey Quarterly since 1964, funds the McKinsey Global Institute research organization, publishes reports on management topics, and has authored influential books on management.
McKinsey Careers Opportunities for Graduate Freshers, Entry Level and Mid Level role in various domain such as HR, Operation, Digital, Technology, Engineering, Customer services, Marketing and many more 2025
When you join McKinsey, you are joining a firm whose culture is distinctive and inclusive. We will accelerate your development as a leader to create positive, enduring change in the world. In this role you will work on the best teams to help the best organizations in the world
Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
McKinsey Technology Opportunities Entry Level 2025
Software Delivery Analyst – Europe
You will be assisting McKinsey consulting teams, providing expert client service in strategic and operational topics and contributing to new product development.
This includes gathering and analyzing information leveraging advance analytics methodologies and discrete simulation tools, e.g., Anylogic, SimPy, Simio etc., formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to client management and implementing recommendations with client team members.
Qualification:
University degree and excellent academic record required; advanced degree preferred, degree in mathematics/computer science/data science is plus
Ability to work collaboratively in a team environment
Skills to communicate complex ideas effectively, fluency in English is a must
Exhibit self-motivation and high service-orientated work ethic
Passion for analytics and interest in learning and developing new approaches to solve a problem
Experience/ understanding of dynamic simulation models (using software like Python, SimPy, Simio, Arena, Anylogic etc.), experience in building optimization models using Python, well versed with linear programming, mixed integer optimization, metaheuristics (e.g. genetic, ant colony optimization, differential evolution algorithm)
Experience in one of the following industries advantageous but not required: Mining, Metals/ Steel, Chemicals, Agriculture, Automotive, Transport/ Logistics
For more details to apply, Click here!
Data Engineer I – US
As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines using Python and AWS services.
You will develop and optimize ETL processes, leveraging orchestration tools to manage complex workflows, while implementing data quality checks and monitoring to ensure data accuracy and integrity.
Collaborating closely with application developers, data analysts, and data scientists, you will gather requirements and deliver effective data solutions.
Additionally, you will automate data processes and deployments using CI/CD pipelines, as well as monitor and troubleshoot data pipeline performance, identifying and resolving issues to ensure seamless operations.
Qualifications:
Bachelor’s or master’s degree in computer science, engineering, or a related field
Strong proficiency in Python programming, including experience with data manipulation libraries
Extensive experience with data warehousing concepts, best practices and SQL
Understanding of AWS cloud services, including (but not limited to) S3, RDS, Lambda, EC2 and IAM
Understanding of software development principles such as project architecture, version control (Git), test-driven development, etc. are important for this role
AWS experience preferred
Ability to work independently as a trusted member of project teams with diverse backgrounds and varying technical abilities
Technologically curios and open to new ways of working Ability to describe data and analytic processes from start to finish in your area of expertise
For more details to apply, Click here!
Capabilities & Insights Analyst – High Tech, Media & Telecom
You will support McKinsey consultants and clients in the TMT industry by collecting, summarizing, analyzing, and synthesizing information that helps solve specific business problems, with a focus on the LATAM and US markets.
You will leverage your industry experience to be a thought-partner to client teams and clients in order to prioritize research activities which will have the most impact.
You will identify the data, information, and/or analysis that will support problem-solving efforts and you will conduct timely, cost-effective research.
Additionally, you will synthesize findings by preparing McKinsey formatted end-products to include written memos, numerical analysis, and/or presentations.
You will have the opportunity to develop industry knowledge and expertise, both general and specific in the TMT sector focusing primarily on Software, IT Services, and other High Tech topics.
You will be able to codify knowledge and help support the continuous improvement of our knowledge operations and infrastructure, innovating firm knowledge and knowledge delivery through special projects (both with client teams and on a stand-alone basis).
Qualification:
Bachelor’s degree, preferably with a sciences or engineering background; Master’s degree is a plus
Preferably 1+ years of post-undergraduate work experience in the TMT industry, preferably in the Telecom, IT Services or Consumer Media space
Knowledge of the TMT space in LATAM, especially trends, competitive landscape and key players related to the industry
Highly curious and creative team member who has strong inter-personal skills and the ability to have influence and impact in their work
Excellent problem-solving, analytical, quantitative skills and research experience in a academic or business setting is preferred
Excellent written and verbal communication in English and Spanish. Fluency in Portuguese is a plusSolid understanding of financial, economic, and general business concepts and terminology
Ability to accomplish work in a fast-paced and dynamic environment, including rapid problem solving with teams, either in person or on the phone
Professional attitude, work standards, and service orientation
Proficient in Microsoft Office (e.g. Word, Excel and PowerPoint) required; Advanced software knowledge (e.g. Alteryx, Tableau) is a plus
For more details to apply, Click here!
Data Operation Engineer I – India
In this role, you will manage data pipelines and refreshes to ensure seamless data processing and availability.
You will investigate and fix data pipeline failures by conducting root cause analysis and applying necessary remediations.
Additionally, you will optimize and maintain data pipelines to support data integration and transformation.
You will build processes that support data ingestion, data transformation, qualitative analysis, and dependencies.
By working closely with data provider teams, you will resolve pipeline issues impacting data freshness and accuracy. When data feeder teams are unable to resolve discrepancies, you will raise and implement data fixes, ensuring data integrity in reporting layers.
You will lead the evaluation, implementation, and deployment of tools and processes to improve the way we work.
Identifying opportunities for process improvement, you will automate repetitive tasks and enhance existing data pipelines for long-term sustainability.
Ensuring compliance with data governance and security policies will be a key responsibility.
Qualification:
3+ years of experience with strong expertise to manage data products & pipelines (data ingestion & transformation) on cloud data platforms
Experience in identifying inefficiencies in data pipelines and implementing sustainable automation solutions
Strong proficiency in writing complex SQL queries for data validation, troubleshooting pipeline failures, and performing root cause analysis
Experience in scripting (Python) for automation, enhancing data pipelines, and optimizing operational workflows
Ability to handle data issues, collaborate with data feeder teams, and raise fixes for unresolved discrepancies
Experience with tools like Apache Airflow, AWS Glue, DBT, or other ETL frameworks for managing data workflows
Understanding of cloud databases (Snowflake, AWS RDS, Aurora, or SQL Server) and database recovery models
Have working knowledge of CI/CD tools such as GitHub Actions, JFrog, SonarQube etc.Have experience in working on any one of the public cloud platforms (AWS/AZURE)Have knowledge of visualization tools such as Tableau & Power BI etc.
Strong ability to work with cross-functional teams, including Data Engineers, Business Intelligence teams, and Infrastructure teams, ensuring timely issue resolution and process improvements
Proactive mindset to drive enhancements in data operations, optimize processes, and improve reliability through automation
Excited to work with data driven solutions and business problem solving
Ability to deal with ambiguity and rapid changes during different phases of solution development and delivery
Having any certification in the field of data engineering & analytics would be an added advantage
For more details to apply, Click here!
Software Engineer – Strategy & Corporate Finance
Job Requirement:
Familiarity or proficiency in React, Angular, or another frontend framework (experience with at least one)Capable of quickly ramping up on new frontend frameworks and delivering quality output
Experience with backend frameworks (e.g., Express, Flask, Django, FastAPI, Golang)Understanding of basic database setup, including user and role creation, query optimization, and indexing
Experience working with SQL (Postgres, Snowflake) and NoSQL (MongoDB) databases
Basic understanding of cloud platforms (AWS, Azure, GCP), key cloud services, and infrastructure as code (Terraform)Familiarity with cloud-native architectures, including serverless computing, microservices, and containerized deployments (Docker)Ability to write high-quality, functional code with proper documentation
Strong problem-solving skills, curiosity, and a growth mindset
Comfortable working in Agile development environments
Effective communication skills, able to work collaboratively across teams
Fluent in English (both written and verbal)
For more details to apply, Click here!
Technical Support Professional
You will join our San Jose office as part of our Global Helpdesk (GHD) team, a pivotal group within McKinsey’s Technology & Digital Services. As a GHD Professional, you will provide first class IT support to our colleagues comprised of consultants and other support staff. You will work in global team sharing a common understanding of a user centric driven work environment.
Qualifications:
Solid knowledge of Windows and MacOS Knowledge in one or more of the following areas: VPN, Microsoft Office, Outlook and Mobile Devices
Curiosity and desire to learn new skills and to extend own knowledge about new IT technologies
Previous experience in IT / customer support is a plus
Strong problem solving and troubleshooting skills
Highly adaptable and open to work on critical or new tasks, taking them to a final resolution
Demonstrate a collaborative style and the willingness to help others
Excellent written and verbal communication in English
Distinctive customer orientation combined with a strong sense of ownership
Strong team spirit with the ability to work in both local and virtual team setting