Advanced Analytics Engineer

About the role

We are seeking an Advanced Analytics Engineer to join our Data Analytics team in Lisbon, supporting Oliver Wyman’s new hub. This hybrid position requires at least three days per week in the office and focuses on building scalable data solutions for advanced analytics, machine learning, and AI.

Key responsibilities

• Design, develop, and optimise scalable data pipelines using PySpark and Databricks.
• Build workflows to ingest, process, and transform structured and unstructured data.
• Develop data models and reusable datasets for analytics and AI use cases.
• Integrate external systems and enterprise platforms through APIs and modern data interfaces.
• Collaborate with AI engineers, data scientists, and business stakeholders to support advanced analytics initiatives.
• Implement data quality, governance, monitoring, and observability best practices.
• Contribute to CI/CD pipelines and DataOps best practices.

Required profile

• 2+ years of experience in Data Engineering or Analytics Engineering.
• Strong problem‑solving and analytical thinking skills.
• Self‑starter with ownership mindset and ability to work independently.
• Excellent communication skills and ability to collaborate across technical and business teams.

Required skills

• Python
• PySpark
• Databricks
• SQL
• Experience with cloud platforms (AWS, Azure, or GCP)
• API development and integration
• CI/CD and workflow orchestration
• Streaming and real‑time processing technologies (optional)