Data Engineer (Software Implementation)

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. You will be part of the Source AI team and will have the opportunity to develop a deep understanding of the domain/function.

Source AI is a Gen AI fueled strategic category management platform within Operations practice. It combines internal and external data with McKinsey’s functional and technological industrial expertise to empower category managers to make informed real-time decisions and unlock new opportunities. It is one of the fastest growing solutions in McKinsey, offering one of a kind exposure to define future the of procurement powered by AI. The Source AI team works with clients globally to deliver value for procurement functions supported by McKinsey’s extensive expert network.

You will work closely with consultants and senior leaders serving clients in North America and Latin America. As a Data Engineer in Source AI you will have hands on experience building high-performance data pipelines, ensuring data quality, managing migrations, and handling multiple Snowflake environments in a secure and efficient manner. This is a key role to scale our data ecosystem across domains and geographies.

You will collaborate with cross-functional teams to enhance the platform, ensuring seamless client deployment and continuous upgradation of functionalities, as per client demands. You will lead the analyses on key spend categories to identify opportunities through solutions and work with the practice leaders and experts in different regions to continuously build the solution with new functionalities and knowledge. You will connect with external market solutions and establish partnerships that can deliver value to both parties. As you grow in the role, you will mentor analysts on topics related to procurement analyses and delivery of solutions for clients.

Degree educated in computer science, engineering, mathematics or equivalent experience Ability to write clean, maintainable and robust code in Python, Scala, Java or similar languages Knowledge of software engineering concepts and best practices Familiarity with the latest OSS, cloud, container, query languages and database technologies Experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data Experience preparing data for analytics and following a data science workflow Experience with Snowflake is a plus Experience in Supply Chain or Procurement is a plus Ability to communicate ideas most effectively in English - both verbally and in writing