Data Engineer: Build Scalable AI Pipelines for Impact (Zurich)

QuantumBlack, AI by McKinsey; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

World-class benefits

Zusammenfassung

QuantumBlack, AI by McKinsey is seeking a Data Engineer based in Zurich to design and maintain scalable data pipelines for advanced analytics. You will collaborate with cross‑functional teams, manage secure data environments, and prepare data for ML models, contributing to AI projects across industries.

You will work with Data Scientists, ML Engineers, and business leaders to deliver high‑impact analytics solutions, while growing as a technologist in a global community located in Zurich.

Qualifikationen

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• Up to 2 years of experience building data pipelines (internship acceptable).
• Ability to write clean, maintainable code in Python, Scala or Java.
• Familiarity with analytics libraries, distributed computing (Spark, Dask), and cloud platforms (AWS, Azure, GCP).
• Exposure to DevOps, DataOps and MLOps beneficial.
• Proficiency with Python, PySpark, PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud solutions.
• Practical experience in generative AI application development.
• Proven advisory and leadership experience.
• Proficient communication in German and English.

Aufgaben

• Design and maintain scalable data pipelines for analytics and ML.
• Collaborate with cross-functional teams and clients on data needs.
• Manage secure data environments and prepare data for advanced analytics.
• Contribute to R&D projects and internal asset development.
• Work with McKinsey's QuantumBlack and Labs teams on AI solutions.
• Collaborate in cross-functional Agile teams with data scientists and ML engineers.

Kenntnisse

Python

Scala/Java

Pandas/Numpy

Spark/Dask

AWS

Azure

GCP

SQL

Docker/Kubernetes

DevOps

MLOps

Kedro

Databricks

Generative AI

German/English

Ausbildung

Bachelor's degree in CS/Engineering/Math

Tools

Databricks

Kedro

Airflow

PySpark

Docker

Kubernetes

PyData stack

Jobbeschreibung

QuantumBlack, AI by McKinsey is seeking a Data Engineer based in Zurich to design and maintain scalable data pipelines for advanced analytics. You will collaborate with cross‑functional teams, manage secure data environments, and prepare data for ML models, contributing to AI projects across industries.

You will work with Data Scientists, ML Engineers, and business leaders to deliver high‑impact analytics solutions, while growing as a technologist in a global community located in Zurich.