Advanced Analytics Engineer (Hybrid, Databricks)

Mercer; Almada; Híbrido; EUR 40 000 - 70 000; Tempo integral

Resumo da oferta

Oliver Wyman is establishing a Lisbon hub and seeks an Advanced Analytics Engineer to design scalable data pipelines and AI-ready data platforms. The role emphasizes PySpark, Databricks, Python, and API integrations to enable analytics and machine learning initiatives.

You will work in a hybrid model at Caparica, coordinating with data scientists and engineers to support real-time and batch data processing, data quality, and CI/CD dataops practices.

Qualificações

• 2+ years of experience in Data Engineering, Analytics Engineering, or related roles.
• Strong hands-on experience with Python, PySpark, Databricks, and SQL.
• Experience designing and developing scalable ETL/ELT pipelines and distributed data processing solutions.

Responsabilidades

• Design, develop, and optimize 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 and platform teams to support MCP integrations and AI-driven workflows.
• Collaborate with data scientists, AI engineers, and business stakeholders to support advanced analytics initiatives.

Conhecimentos

Python

PySpark

Databricks

SQL

APIs

Cloud platforms

Ferramentas

Databricks

PySpark

Python

SQL

APIs

Descrição da oferta de emprego

Oliver Wyman is establishing a Lisbon hub and seeks an Advanced Analytics Engineer to design scalable data pipelines and AI-ready data platforms. The role emphasizes PySpark, Databricks, Python, and API integrations to enable analytics and machine learning initiatives.

You will work in a hybrid model at Caparica, coordinating with data scientists and engineers to support real-time and batch data processing, data quality, and CI/CD dataops practices.