We are seeking a talented individual to join our Global Data team at Marsh. This role will be based in Lisbon. This is a hybrid role that has a requirement of working at least three days a week in the office.
We will count on you to:
System Design and Development: Designing and building robust, scalable data processing systems that can handle large volumes of data. This includes databases, data lakes, and other big data infrastructures;
Data Pipeline Architecture: Overseeing + hands on in creation and maintenance of efficient data pipelines, which includes tasks such as data extraction, transformation, and loading (ETL);
Data Management: Implement data strategies and develop physical and logical data models;
Data Optimization: Develop and implement data optimization techniques to improve system efficiency and reduce data latency, complexity, and redundancy;
Problem Solving: Use analytical skills to solve complex problems associated with database development and management;
Collaboration: Working with other teams, such as data scientists, business analysts, and Qlik Developers, to identify organizational needs and design effective solutions;
Innovation: Keeping up-to-date with new technologies and methodologies in the field of data engineering, and fostering a culture of innovation and continuous improvement within the team;
Stakeholder Communication: Communicate effectively with both technical and non-technical stakeholders, explaining data infrastructure, strategies, and systems in an understandable way.
What you need to have:
Bachelor’s degree in Business Administration, Maths, Engineering, Economics or similar;
Advanced Machine Learning Expertise – at least 4 years of strong hands-on experience with core ML algorithms (regression, classification, time-series forecasting) and ability to design, train, and optimize models for real-world problems;
Forecasting Project Experience – Proven track record for more than 4 years into building and deploying forecasting models (demand, sales, or time-series) using Python libraries like Pandas, NumPy, Scikit-learn, and stats models;
Python Proficiency – Deep knowledge of Python for data analysis, model development, and pipeline automation; experience with clean, modular, and production-ready code;
Data Bricks experience;
Ability to independently handle the full ML lifecycle: data preprocessing, feature engineering, model building, validation, deployment, and monitoring;
Demonstrates curiosity and adaptability, proactively upskills on emerging technologies, tools, and frameworks in ML and data science;
Ability to connect technical solutions with business goals, especially in forecasting and decision-making scenarios;
Excellent Communication Skills;
AI Automation - Develop and maintain AI-driven automation solutions to streamline operational tasks and management information (MI) processes. And integrate internal AI tools with existing systems to enhance data processing and reporting capabilities;
Fluent English proficiency;
Strong quantitative and analytical skills with ability to translate data into meaningful insights.
What makes you stand out:
Experience on leading BI tools like Qlik, Power BI or any other industry preferred BI tool;
Aptitude for fostering positive relationships;
Teamwork and leadership skills.
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.