Junior Data Engineer - QuantumBlack

• Company QuantumBlack, AI by McKinsey
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Qualifications

• University or master's degree students pursuing a degree in computer science, engineering, mathematics or equivalent and graduating in 2022
• Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
• Experience working across structured, semi-structured and unstructured data
• Proven experience building data pipelines in production for advanced analytics use cases
• Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, numpy, matplotlib)
• Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus
• Commercial client-facing or senior stakeholder management experience would be beneficial
• Willingness to travel

What You'll Do

You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally.

• Help to 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 maintained at all times
• Understand clients data landscape and assess data quality
• Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
• Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
• Be flexible to travel to our clients' offices to deliver presentations, gather information or share knowledge
• Have the opportunity to contribute to R&D and internal asset development projects

Our tech stack

While we advocate for using the right tech for the right task, we often leverage the following technologies Python, PySpark, SQL, Airflow, Databricks, our own OSS called Kedro, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!

What You'll Benefit From

Real-World Impact – No project is ever the same. We work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.

Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.

Multidisciplinary Teamwork – Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.

Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.

Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.

Visit our Careers site to watch our video and read about our interview processes and benefits.