Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
- Compensation
- Not disclosed
- Location
- Netherlands
- Work setup
- Not specified
- Seniority
- Junior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in computer science, engineering, mathematics, or equivalent experience
- 2+ years of relevant professional experience
- Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
- Proven experience building data pipelines in production for advanced analytics use cases
- Experience working across structured, semi-structured and unstructured data
- Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus
- 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)
- Commercial client-facing or senior stakeholder management experience would be beneficial
Full description
Data Engineer - QuantumBlack, AI by McKinsey
Join to apply for the Data Engineer - QuantumBlack, AI by McKinsey role at QuantumBlack, AI by McKinsey
Data Engineer - QuantumBlack, AI by McKinsey
Join to apply for the Data Engineer - QuantumBlack, AI by McKinsey role at QuantumBlack, AI by McKinsey
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**Only at McKinsey
Who You'll Work With
Only at McKinsey
Work on real-world, high-impact projects across a variety of industries **– Identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day-to-day business.
Experience the best environment to grow as a technologist and a leader– Develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
Be surrounded by inspiring individuals as part of diverse multidisciplinary teams - Develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
**Our Tech Stack
**While we advocate for using the right tech for the right task, we often leverage the following technologies Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more!
**Your Impact
**As a Data Engineer at QuantumBlack, you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts. You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.
You are a highly-collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. Our values resonate with yours.
As a Data Engineer, you’ll
- 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.