McKinsey & Company

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.

Your Impact

We are looking for a data engineer with expertise in Python development, who is passionate about cloud- based data engineering using AWS services and loves to build data solutions as part of multi-disciplinary team.

You'll be working closely with digital product professionals, data scientists, cloud engineers and others.

You’ll be a member of a global team working on generative AI initiatives that is part of our McKinsey’s Tech Ecosystem function: responsible for developing and delivering all technology solutions for the firm’s internal use. You will work in a platform or product team with engineers, designers and product managers doing application development with an with the purpose delivering impactful AI solutions leveraging the best of the data within the firm.

You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by generative AI applications.

Your work would include but won't be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.

You’ll work with the generative AI team focused on AI platforms or products. Our team is distributed across multiple locations, including offices in North America, Europe, and Latin America.

The generative AI team is dedicated to advancing the capabilities and applications of data retrieval and Generative AI within our firm, driving innovation, and delivering impactful AI solutions.

Your Growth

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

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. 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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

• 3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
• Expertise with Python development
• Practicing high coding standards with clean code, modularity, error handling, testing automation and more
• Strong experience with relational databases
• Very driven, super strong on execution and output orientation, likes to get job done attitude and ability to figure things out independently; able to work in complex and very fast paced environment
• Hands-on experience with Docker
• Solid and demonstrable background in data pipeline performance and diagnostics
• Interest in generative AI and other ML topics
• Kedro framework experience as a plus
• Holds their ground, opinionated, not afraid to speak up at any level
• Familiarity with agile principles and product development
• Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

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

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.