Data Engineering Specialist

Marsh

Lisbon, Portugal
Not specified; not specified; not specified
Hybrid (3 days in office, 2 days remote)
4+ years hands-on machine learning experience
Python proficiency for data analysis and pipelines
Experience with data bricks platform
Marsh is seeking a Data Engineering Specialist to join their Global Data team in Lisbon. This hybrid role requires expertise in machine learning, data processing systems, and effective communication skills to collaborate with various stakeholders

Job Summary

  • This role involves designing and building robust, scalable data processing systems capable of handling large volumes of data within a hybrid work environment.
  • The successful candidate will leverage advanced machine learning expertise to build and deploy forecasting models using Python libraries such as Pandas and Scikit-learn.
  • Marsh offers professional development opportunities, interesting work, and a supportive culture that fosters innovation and collaboration among talented colleagues.

Matching Summary

Match Score: 85

Marsh is seeking a Data Engineering Specialist to join their Global Data team in Lisbon. This hybrid role requires expertise in machine learning, data processing systems, and effective communication skills to collaborate with various stakeholders.

Salary

Not specified; Not specified; Not specified

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
  • Advanced forecasting model deployment
  • AI automation solution development

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
  • Excellent communication with non-technical stakeholders

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 experience building and deploying forecasting models
  • Deep knowledge of Python for data analysis and pipeline automation
  • Fluent English proficiency

Work Rights

Not specified

Tailored Resume

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