Data Engineer: Scalable Analytics & ML Pipelines

McKinsey & Company; Lisboa; Presencial; EUR 38 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

World-class benefits

Competitive salary

Resumo da oferta

McKinsey & Company is seeking a data engineer for Periscope By McKinsey to design secure, scalable data pipelines enabling advanced analytics and machine learning for clients. You will collaborate with a global team of data scientists and engineers, using Python, SQL, Airflow, Databricks, Kedro, Docker, and Kubernetes on AWS/GCP/Azure to deliver innovative data assets.

Based in Lisbon, you will contribute to asset-based consulting and the entrepreneurial culture that drives impact across

Qualificações

• Advanced degree in a quantitative field or equivalent experience.
• Up to 2 years of professional experience.
• Proven experience building data pipelines in production for analytics use cases.
• Experience working with structured, semi-structured and unstructured data.
• Exposure to DevOps, DataOps and MLOps preferred.
• Familiarity with Python, SQL and analytics libraries.

Responsabilidades

• Design secure, scalable data pipelines enabling advanced analytics and ML for clients.
• Collaborate with data scientists and engineers across a global team.
• Build and maintain data assets using cloud platforms (AWS/GCP/Azure) and modern tooling.
• Ensure data environments meet security and governance requirements.

Conhecimentos

Python

SQL

Distributed computing

English proficiency

Data modeling

Formação académica

Advanced degree in a quantitative field

Ferramentas

Airflow

Databricks

Kedro

Docker

Kubernetes

AWS

GCP

Azure

PySpark

Descrição da oferta de emprego

McKinsey & Company is seeking a data engineer for Periscope By McKinsey to design secure, scalable data pipelines enabling advanced analytics and machine learning for clients. You will collaborate with a global team of data scientists and engineers, using Python, SQL, Airflow, Databricks, Kedro, Docker, and Kubernetes on AWS/GCP/Azure to deliver innovative data assets.

Based in Lisbon, you will contribute to asset-based consulting and the entrepreneurial culture that drives impact across