Data Engineer I - QuantumBlack, AI by McKinsey
- Hiring Organisation
- McKinsey & Company
- Location
- London, UK
- Employment Type
- Full-time
QUALIFICATIONSDegree in Computer Science, Engineering, Mathematics, or equivalent experienceUpto 2 years' experience building data pipelines in a professional setting (e.g., internship) is a plusAbility to write clean, maintainable, scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask … using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative AI (GenAI) and agentic systems would ...