Senior Data Engineer - Cloud Lakehouse & Pipelines

Amgen SA; Lisboa; Híbrido; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon seeks a Senior Data Engineer to lead scalable data pipelines and lakehouse solutions within Global Medical Data and Analytics. You will partner with product owners, architects, analytics teams, validation engineers, and business stakeholders to turn complex needs into secure, reusable data capabilities.

You will build batch and near-real-time data pipelines on Databricks using Python, SQL, Spark, and Delta Lake, while shaping data architectures and

Qualificações

• 9+ years of professional experience in data engineering or related field.
• Strong Python and SQL with Spark experience.
• Experience with Databricks and AWS cloud platforms.
• Ability to communicate technical designs clearly to technical and non-technical partners.

Responsabilidades

• Lead design, development, testing, deployment, and support of robust data pipelines across source, landing, curated, and analytics layers.
• Design end-to-end data architecture for cloud-based lakehouse solutions.
• Build and optimize solutions on Databricks using Python, SQL, Spark, Delta Lake.
• Develop data models and curated datasets for analytics and reporting.
• Collaborate with product owners and cross-functional teams in Agile/SAFe environment.

Conhecimentos

Python

SQL

Databricks

Spark

AWS

Data Modeling

API/ETL

Communication

Formação académica

Bachelor’s degree in Computer Science / Information Systems / Engineering or related field

Ferramentas

Databricks

Tableau

Power BI

Cloud platforms (AWS)

Descrição da oferta de emprego

AMGEN Capability Center Portugal in Lisbon seeks a Senior Data Engineer to lead scalable data pipelines and lakehouse solutions within Global Medical Data and Analytics. You will partner with product owners, architects, analytics teams, validation engineers, and business stakeholders to turn complex needs into secure, reusable data capabilities.

You will build batch and near-real-time data pipelines on Databricks using Python, SQL, Spark, and Delta Lake, while shaping data architectures and