Data Engineer: AI/ML Pipelines & Tech Leadership

McKinsey; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Job summary

McKinsey & Company is seeking a talented Data Engineer to design scalable data pipelines, manage secure data environments, and lead technical workstreams within cross-functional teams. You will mentor juniors, collaborate with data scientists and ML engineers, and contribute to AI solutions across industries, based in Lisbon or Madrid.

You will own technical platforms, apply Kedro, Spark, Python, and cloud services to deliver robust, reproducible analytics pipelines, and participate in R&D

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent.
• Proficient in Python/Scala/Java and clean, scalable code.
• Experience building production data pipelines for analytics.
• Experience with distributed computing (Spark/Dask) and cloud platforms.
• Strong English and Spanish or Portuguese communication.

Responsibilities

• Design scalable data pipelines and data environments for analytics.
• Lead technical workstreams and mentor junior colleagues.
• Collaborate with Data Scientists and ML Engineers across industries.

Skills

Python

Scala

Java

PySpark

Spark

AWS

Azure

GCP

SQL

Airflow

Databricks

Kedro

Docker

Kubernetes

Pandas

NumPy

Dask

Data pipelines

English

Spanish/Portuguese

Education

Degree in Computer Science, Engineering, Mathematics

Tools

Kedro

Job description

McKinsey & Company is seeking a talented Data Engineer to design scalable data pipelines, manage secure data environments, and lead technical workstreams within cross-functional teams. You will mentor juniors, collaborate with data scientists and ML engineers, and contribute to AI solutions across industries, based in Lisbon or Madrid.

You will own technical platforms, apply Kedro, Spark, Python, and cloud services to deliver robust, reproducible analytics pipelines, and participate in R&D