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

You will apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.

In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You’ll actively cooperate with data scientists and digital consultants to incorporate clients’ requirements and impactful analysis into our data products. You’ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.

You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.

Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.

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. 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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

• Bachelor's degree in computer science, engineering, mathematics or another relevant subject
• 3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
• Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
• Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
• Experience preparing data for analytics and following a data science workflow
• Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
• Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
• Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
• Experience and interest in Cloud platforms such as AWS, Azure, GCP
• Commercial client-facing project experience is helpful
• Proven record of leadership in a work setting and/or through extracurricular activities
• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
• Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus

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.