Data Engineering Specialist

Marsh McLennan

Lisbon, Portugal
Hybrid
4+ years hands-on machine learning experience
Python proficiency for data analysis and pipelines
Experience with data bricks platform
This role involves designing and building robust, scalable data processing systems capable of handling large volumes of data

Job Summary

  • This role involves designing and building robust, scalable data processing systems capable of handling large volumes of data.
  • Candidates must have a proven track record of building and deploying forecasting models using Python libraries such as Pandas and Scikit-learn.
  • The company offers professional development opportunities within a vibrant and inclusive culture that fosters innovation and continuous improvement.

Matching Summary

This role involves designing and building robust, scalable data processing systems capable of handling large volumes of data.

Skills & Requirements

Must-have

  • 4+ years hands-on Machine Learning experience
  • Python proficiency for data analysis and pipelines
  • Experience with Data Bricks platform
  • Full ML lifecycle management skills
  • Forecasting model deployment track record
  • Fluent English proficiency

Nice-to-have

  • Leadership in BI tools like Qlik or Power BI
  • Strong quantitative and analytical skills
  • Ability to foster positive team relationships
  • Proactive upskilling on emerging technologies

Key Requirements

  • Bachelor's degree in Business Administration, Maths, Engineering, Economics or similar
  • At least 4 years of strong hands-on experience with core ML algorithms
  • More than 4 years of forecasting project experience
  • Hybrid work requirement: at least three days per week in the office

Work Rights

Not specified

Tailored Resume

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