Data Engineer - Quantumblack, AI by McKinsey

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:

You will work on real-world, high-impact projects across a variety of industries; you will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI – and help solve business problems at speed and scale.  

You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.

You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.

As a Data Engineer I, you’ll:

• Help build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
• Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
• Create and manage data environments and ensure information security standards are always maintained
• Understand client’s data landscape and assess data quality
• Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
• Contribute to R&D projects and internal asset development
• Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions

You will be part of our global Data Engineering community, and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts.

You will work together with our clients, from data owners, users, and fellow engineers to C-level executives. As a highly collaborative individual, you will solve problems that drive business value and give you a strong sense of ownership.