Data Engineer – QuantumBlack, AI by McKinsey

NLP PEOPLE; Paris; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A global management consulting firm is seeking a Data Engineer in Paris to design and maintain scalable data pipelines while working collaboratively with Data Scientists and Engineers. Ideal candidates will have a degree in a relevant field and proficiency in Python and SQL. You will tackle real-world challenges, contributing to innovative AI solutions in a supportive and growth-oriented culture.

Qualifications

• 0-2+ years of experience building data pipelines considered a plus.
• Ability to write clean and maintainable code in an object-oriented language.
• Familiarity with distributed computing frameworks.

Responsabilités

• Design and maintain scalable data pipelines.
• Collaborate with cross-functional teams and clients.
• Contribute to R&D projects and internal asset development.

Connaissances

Building data pipelines

Clean code writing

Analytics libraries (pandas, numpy)

Cloud platforms (AWS, Azure, GCP)

Communication skills in English and French

Time management

Formation

Degree in Computer Science, Engineering, Mathematics

Outils

Python

SQL

Airflow

Docker

Kubernetes

Description du poste

Overview

Your Growth 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.

You will join a learning and apprenticeship culture with structured programs that emphasize feedback, development, and rapid growth. You’ll have a voice that matters from day one, contribute innovative ideas and practical solutions, and benefit from a global, diverse community that fuels creativity and client impact. You’ll work in Paris as part of our global Data Engineering community, within cross-functional Agile teams, collaborating with Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions.

This role offers an exceptional environment to grow as a technologist and collaborator, gaining a holistic understanding of AI while working with some of the best talent in the world.

Your Impact

As a Data Engineer, you will design and maintain scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges, contribute to innovative AI solutions, and grow as a technologist by working alongside diverse experts across industries. You’ll design and build scalable, reproducible data pipelines for machine learning, assess data landscapes, ensure data quality, and prepare data for analytics models. You’ll contribute to R&D projects and internal asset development, expanding your technical expertise.

Your work will address real-world challenges across industries. Collaborating with McKinsey’s QuantumBlack and Labs teams, you’ll help build innovative machine learning systems that accelerate AI adoption and solve business problems at scale, enabling clients to achieve meaningful impact.

Role Location and Collaboration

You’ll be based in Paris as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate with Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Partnering with clients, from data owners to C-level executives, you’ll help solve complex problems that drive business value.

This role offers an exceptional environment to grow as a technologist and collaborator. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges, surrounded by inspiring, multidisciplinary teams.

Our Tech Stack

We advocate using the right tech for the right task, and commonly leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud platforms such as AWS, GCP, and Azure.

Qualifications and Skills

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• 0-2+ years of experience building data pipelines in a professional setting (e.g., internship) would be considered a plus
• Ability to write clean and maintainable code in an object-oriented language (e.g., Python, Scala, Java)
• Familiarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (AWS, Azure, GCP)
• Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps
• Strong communication skills, both verbal and written, in English and French
• Exceptional time management to meet responsibilities in a largely autonomous work environment

Company

McKinsey & Company