Data engineer

Sobre a vaga

You will create and maintain automated data pipelines from various sources and business domains to support Business Intelligence and AI solutions. You will play a key role in the company's digital transformation journey, helping to centralize and democratize enterprise data across business functions.

O que vais fazer

• You will create and maintain automated data pipelines from various sources and business domains, including data modeling, transformation and preparation to support Business Intelligence and AI solutions
• You will play a key role in the company's digital transformation journey, helping to centralize and democratize enterprise data across business functions
• You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions
• You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems, ensuring reliable data availability for analytics and AI use cases
• A significant part of your work will focus on enabling and supporting AI initiatives, requiring a strong interest in Artificial Intelligence, modern data architectures and emerging technologies
• You will be responsible for maintaining data reliability, integrity and availability while complying with Cybersecurity and IT security standards
• You will monitor and optimize ETL pipelines to ensure they remain reliable, efficient and performant
• Stay up to date with the latest developments and trends in Data Engineering and Artificial Intelligence, incorporating new methodologies into daily work

O que é pedido

• Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar field
• 2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer
• Strong SQL and Python skills
• Experience with Databricks, AWS and modern Lakehouse architectures
• Experience building and maintaining scalable ETL/ELT pipelines
• Knowledge of data modeling, data warehousing and Delta Lake concepts
• Experience with Git and CI/CD practices
• Understanding of data governance, access control and data quality principles
• Strong communication skills and fluent English

Valorizado

• Experience with SAP data sources
• Experience integrating SharePoint and enterprise document repositories
• Knowledge of Power BI or similar BI tools
• Understanding of AI data architectures, including RAG, vector search and LLM applications
• Experience with Unity Catalog and Databricks governance capabilities

✸ Benefícios e vantagens (8)

• Apoio ao home-office
• Comida, fruta e bebida
• Condições para bicicleta
• Flexibilidade de horário
• Jogos no escritório
• Mais de 22 dias de férias
• Perto de transportes públicos
• Seguro de saúde

✸ Valores e cultura (8)

• Ambiente internacional
• Amigos fora do trabalho
• Híbrido
• Igualdade de género
• Incentivo à criatividade & inovação
• Membros impressionantes na equipa
• Metodologias ágeis
• Onboarding técnico