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Data Engineer - QuantumBlack

Posted 23 Mar 2024
Work experience
2 to 5 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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WHO YOU'LL WORK WITH

You will join our Amsterdam office. As a data engineer at QuantumBlack, you will work with other data engineers, data scientists, designers and strategy consultants on exciting, interdisciplinary projects.

You'll work hands in hands with our clients, from data owners and users to C-level executives.

WHAT YOU'LL DO

As a data engineer at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.

Role responsibilities

  • Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
  • Design and build data pipelines to support data science projects following software engineering best practices
  • Use state of the art technologies to acquire, ingest and transform big datasets
  • Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
  • Create and manage data environments in the cloud or on premise
  • Ensure information security standards are maintained at all time
  • 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

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, Kedro (an OSS developed by QuantumBlack), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!

QUALIFICATIONS

  • Degree in computer science, engineering, mathematics, or related field
  • Ability to write clean, maintainable, and robust code in Python and SQL; familiarity with Java and Scala is a plus
  • Knowledge of software engineering concepts and best practices
  • Familiarity with the latest OSS, cloud, container, query and database technologies as well as query languages
  • Experience with big data tools such as Hadoop, Spark, Kafka, Hive is a plus
  • Previous commercial experience in a data-driven role
  • Confirmed experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • Experience preparing data for analytics and following a data science workflow
  • Commercial client-facing or senior stakeholders management experience is a plus
  • Business level fluency in English, Dutch is a plus

McKinsey is a global management consulting firm where you'll have unrivaled opportunities to work face-to-face with the leaders of the world’s most impressive organizations and to leave your mark.
We provide a broad range of opportunities for you to meet people, make friends, and build networks that can help you wherever your career takes you

Management Consulting
Amsterdam
Active in 65 countries
700 employees
50% men - 50% women
Average age is 27 years

What employees are saying

Lotte

Junior Associate

Lotte

JOINING MCKINSEY AS A NEUROSURGEON
After finishing my PhD and my business education, I started as a training resident in neurosurgery. Working in medicine, I realized how much the experience of patients and healthcare professionals could be improved by strategic thinking and organizational redesign. With this in mind,…

Wouter

Fellow

Wouter

THE BEST THINGS ABOUT MCKINSEY AMSTERDAM
First, I joined McKinsey for the people. There is a very caring culture in our firm. Here, people help you on a professional level and also care deeply about you on a personal level. Second, I really enjoy the strategic and analytical…