Data Engineer - Global Banking

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 work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams, developing new or enhancing existing assets. You will leverage cutting-edge technologies, collaborate with diverse experts, and grow as both a technologist and leader within McKinsey's entrepreneurial culture. In this role, you will design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned. You will prepare and manage data environments, ensuring they meet the highest information security standards, while enabling software capabilities for data engineers, data scientists, consulting teams, and external clients. Your work will contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements across data science and engineering. Your work will have a real-world impact, driving meaningful outcomes for clients across industries. You will build and maintain technology assets that support high-stakes projects, collaborating with world-class design, technical, and business talent. You will have the freedom to experiment with the latest technologies and push the boundaries of innovation. You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, and industry experts to design and deliver cutting-edge data solutions. Together, you will enable advanced analytics and machine learning capabilities, helping clients and internal teams unlock the full potential of their data. You will also contribute to research and development projects and internal asset development, helping to shift McKinsey’s model toward asset-based consulting and expanding our investment in an entrepreneurial culture. You will experience unparalleled growth as a technologist and leader, with the freedom to innovate, experiment, and master the world's leading technologies beyond any single proprietary stack. You will be part of an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing McKinsey’s mission to deliver transformative solutions through technology.

Bachelor's degree in relevant field, or equivalent experience, 1-3 years of relevant work experience Proven experience building data pipelines in production for advanced analytics use cases Experience working across structured, semi-structured and unstructured data Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries. Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion Proficient in rational decision making based on data, facts, and logical reasoning Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels