Data Engineer - QuantumBlack

WHO YOU'LL WORK WITH

As a data engineer at QuantumBlack in our Greater China region you can expect:Your colleaguesWork with other data engineers, data scientists, machine learning engineers, digital consultants, designers, project managers and McKinsey experts on interdisciplinary projects.Who you areYou are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.

WHAT YOU'LL DO

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 to design and drive architecture and implementation planning for our clients. You will also act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You will actively collaborate with data scientists and digital consultants to incorporate clients’ requirements and impactful analysis into our data products. You will be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.You will have a hybrid client-facing/technical role using state-of-the-art technologies whilst also communicating complex intractable ideas to non-technical audiences

QUALIFICATIONS

• Bachelor's degree in computer science or another relevant subject; master's degree preferred
• Familiar with big data platforms like SQL, Teradata, Hadoop, Spark
• For data integration engineers, experience in programming languages such as Java, C/C++, Python and R
• For user experience data engineers, experience in UI design and Javascript application development; mobile app development experience is a plus
• Knowledge of agile software development process
• Passion for machine learning and innovation
• Strong analytical and problem-solving skills; ability to develop creative and efficient solutions, with tolerance to deal with bad quality data
• Ability to work effectively in teams with good conceptual to technical communication skills
• Excellent communication skills in English and Mandarin Chinese (both oral and written)