McKinsey
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Gurugram · On-site · 4-7 Yrs · 3 days ago
Business consulting · 10000+ Employees · New York, US
McKinsey & Company is a global management consulting firm that serves private and public companies, governments, not-for-profits and non-governmental organizations. Our clients come to us with their most complex issues and our people help them to make change happen at all levels of their organization. In the past five years, we have served more than 2,000 clients of all sizes in all geographies and sectors. Our more than 10,000 consultants and 2,000 knowledge professionals speak nearly 130 languages and work in more than 100 locations in more than 60 countries. They hail from all backgrounds including medicine, engineering, civil service, entrepreneurship, science, business, professional athletics, and linguistics. They are united by their desire to make positive change in the world. That’s why we say that when you come to McKinsey, you “don’t just come to work. You come to change.”
Hiring: Engineering
What employees say
+ Benefits and people both are great
− Working hours can be long
More reviews on the company profile.
Interview experience · Team Leader
Problem solving interviews followed by Personal In person interviews at the Corporate office. Interview experience from receiving the HR call to the final onboarding is very smooth, and HR BP has ensured the best intervi
Difficult difficulty · India · 572 reports
More interview insightsJob description
Overview
Who You'll Work With
Responsibilities
- You will collaborate with business stakeholders, data scientists, and engineering teams to develop, productionize, and scale advanced data, machine learning, and Generative AI solutions that deliver measurable impact for our clients.
- You will work across the full analytics and AI lifecycle — from understanding client data landscapes and building robust, reusable data pipelines, to enabling production-grade ML, LLM, and GenAI systems through strong MLOps, LLMOps, and DevOps practices.
- Bachelor’s degree in Computer Science, Engineering, IT, or a related field
- 4+ years of relevant experience across data engineering, MLOps, cloud, or DevOps roles
- Strong hands-on experience with Python and distributed data processing frameworks (e.g., Spark)
- Proven experience designing and maintaining production-grade data pipelines and analytics platforms
- Hands-on experience working with data teams to productionize ML and GenAI workflows
- Strong expertise in at least one major cloud platform (AWS, Azure, or GCP), including security and service integration
- Proven experience building end-to-end CI/CD pipelines for data, ML, and GenAI applications
- Solid experience with Docker, Kubernetes, and workflow orchestration tools (e.g., Airflow, Argo, Kedro, Temporal)
- Hands-on experience implementing MLOps practices such as experiment tracking, model deployment, and lifecycle management
- Practical experience delivering and operating production systems, including APIs, cloud infrastructure, and observability solutions
- Working knowledge of SQL and relational databases (PostgreSQL, MySQL, SQL Server, Oracle)
- Experience with RAG pipelines, vector databases, embedding models, and LLM frameworks
Verify McKinsey for this role
Free PRACTICE for McKinsey adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify McKinsey free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 29 October 2026
- How do I apply for Senior Data Engineer I - QuantumBlack, AI by McKinsey at McKinsey?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. McKinsey may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer I - QuantumBlack, AI by McKinsey role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer I - QuantumBlack, AI by McKinsey remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer I - QuantumBlack, AI by McKinsey role at McKinsey?
- This is a senior Senior Data Engineer I - QuantumBlack, AI by McKinsey role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.