Lisbon Analytics Engineer: AI & Data Pipelines

Oliver Wyman; Lisboa; Híbrido; EUR 50 000 - 75 000; Tempo integral

Resumo da oferta

Oliver Wyman in Lisbon is building its new data hub and seeks an experienced Advanced Analytics Engineer to design and build scalable data pipelines using PySpark and Databricks. You will work on structured and unstructured data, APIs, and data models to enable analytics, AI, and ML initiatives across the organization.

The role emphasizes modern data platforms, DataOps, CI/CD, and collaboration with AI engineers, data scientists, and business stakeholders.

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.
• Experience working with structured, semi-structured, and unstructured data.
• Experience building and integrating APIs and enterprise data services.
• Experience supporting advanced analytics, AI, or machine learning initiatives.
• Strong understanding of modern lakehouse and cloud-based data architectures.
• Experience with workflow orchestration, automation, and CI/CD pipelines.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with streaming and real-time processing technologies is a plus.
• Knowledge of MCP integrations and AI-driven workflow architectures is a plus.

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.
• Implement data quality, governance, monitoring, and observability best practices.
• Optimize performance and scalability of distributed data processing environments.
• Support batch and real-time data processing architectures.
• Contribute to CI/CD pipelines and DataOps best practices.
• Document technical solutions, workflows, and operational procedures.

Conhecimentos

Python

PySpark

Databricks

SQL

APIs

Data modeling

CI/CD

DataOps

Cloud architectures

Streaming

Ferramentas

Databricks

PySpark

SQL

APIs

CI/CD pipelines

Descrição da oferta de emprego

Oliver Wyman in Lisbon is building its new data hub and seeks an experienced Advanced Analytics Engineer to design and build scalable data pipelines using PySpark and Databricks. You will work on structured and unstructured data, APIs, and data models to enable analytics, AI, and ML initiatives across the organization.

The role emphasizes modern data platforms, DataOps, CI/CD, and collaboration with AI engineers, data scientists, and business stakeholders.