At a Glance
- Tasks: Design and maintain scalable data pipelines for innovative AI applications.
- Company: QuantumBlack, AI by McKinsey, a leader in AI solutions.
- Benefits: Comprehensive benefits, career growth, and a global community.
- Other info: Agile environment with opportunities to work alongside data scientists and engineers.
- Why this job: Join a collaborative team and tackle complex business challenges with AI.
- Qualifications: Degree in Computer Science or equivalent, skills in Python and SQL.
The predicted salary is between 40000 - 50000 £ per year.
QuantumBlack, AI by McKinsey, is seeking a Data Engineer based in London to design and maintain scalable data pipelines for cutting-edge AI applications. This role offers a chance to work in a collaborative, agile environment alongside data scientists and machine learning engineers.
Ideal candidates will have a degree in Computer Science or equivalent experience, and skills in Python and SQL. You will support clients by building robust data foundations that enable AI adoption and address complex business challenges.
The position includes comprehensive benefits and career growth opportunities within a global community.
Data Engineer I: AI Data Pipelines & Platforms employer: QuantumBlack, AI by McKinsey
At QuantumBlack, AI by McKinsey, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. With a focus on professional growth, we offer extensive training and development opportunities, ensuring that our team members thrive in their careers while working on impactful projects in vibrant cities like London and Madrid. Join us to be part of a diverse global team dedicated to solving complex engineering challenges with cutting-edge AI solutions.
Contact Details:
QuantumBlack, AI by McKinsey Recruitment Team
