Data Engineer: Python & Scala for ML Pipelines (Hybrid)

Capgemini; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading technology consulting firm in Greater London is seeking a Data Engineer to support predictive modeling and data-driven initiatives. You will prepare datasets, build scalable pipelines, and collaborate with product and engineering teams. Ideal candidates will have strong expertise in Python and Scala, knowledge of big data frameworks, and cloud platform familiarity. This role embraces a hybrid working model, blending office, client, and home work environments.

Benefits

Training and development opportunities

Employee wellbeing programs

Collaborative work environment

Qualifications

• Strong expertise in Python and Scala with hands-on experience in ML libraries.
• Solid SQL skills for big-data frameworks.
• Familiarity with major cloud platforms.

Responsibilities

• Perform data cleaning and feature engineering for ML cases.
• Build and optimize data pipelines with Python and Scala.
• Collaborate with data scientists for model development.

Skills

Python

Scala

Pandas

NumPy

Scikit-learn

PySpark

SQL

Hadoop

Tools

Azure

AWS

GCP

Job description

A leading technology consulting firm in Greater London is seeking a Data Engineer to support predictive modeling and data-driven initiatives. You will prepare datasets, build scalable pipelines, and collaborate with product and engineering teams. Ideal candidates will have strong expertise in Python and Scala, knowledge of big data frameworks, and cloud platform familiarity. This role embraces a hybrid working model, blending office, client, and home work environments.