Data Engineer: Scalable Analytics & ML Pipelines

McKinsey & Company

Lisboa

On-site

EUR 38,000 - 60,000

Full time

14 days+
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Benefits offered by this job

World-class benefits
Competitive salary

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
Distributed computing
English proficiency
Data modeling

Education

Advanced degree in a quantitative field

Tools

Airflow
Databricks
Kedro
Docker
Kubernetes
AWS
GCP
Azure
PySpark

Job description

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

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