Job ID: 110990

Bengaluru

Gurugram

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will help build the next generation of enterprise intelligence.

You will support the FinLab team as a Data Engineer to analyze large amounts of data to drive insights that will be used to make strategic decisions for our clients.

You will partner with client teams across project settings to develop AI-enabled custom software tools that will be implemented directly within our client organizations. You will exercise your creative and technical skills whilst growing into a thought leader in the financial services space and a technology leader at our firm.

You will become an advocate for the use of data and analytics, guiding teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients. This will enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting-edge.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development,



just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills),



we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS Bachelor’s or advanced professional degree in engineering, computer science, statistics, or data science; master’s degree is a plus

3+ years of professional experience as a data analyst or data engineer

Experience developing optimization models, business algorithms, scenario planning models, or simulation engines to solve complex business problems

Strong programming expertise in Python and SQL, with experience building scalable, maintainable, and production-ready analytical solutions

Experience with Microsoft Fabric, Tableau, Power BI, Databricks, and up-to-date analytics frameworks such as Kedro; exposure to no-code analytics tools (e.g., KNIME) is good to have

Experience delivering end-to-end analytics solutions spanning data engineering, business intelligence, advanced analytics, visualization, and AI

Experience collaborating with cross-functional teams, including data engineers, machine learning engineers, designers, and business stakeholders, to deliver client impact

Familiarity with software engineering best practices, including testing, code quality, QA, and risk management

Experience partnering directly with business stakeholders to translate complex business problems into scalable analytical solutions and effectively communicate insights to both technical and non-technical audiences

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

📌 Data Engineer II - FinLab (Bengaluru)
🏢 McKinsey u0026
📍 Bengaluru