Lead Data Engineer — Cloud-Native, Hybrid, Mentorship

IRIUM Portugal; Braga, Coimbra, Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation

Flexible pay options

Medical insurance

Unlimited access to technology training

Resumo da oferta

A technology company in Portugal is seeking a Lead Data Engineer to design and implement end-to-end data pipelines in cloud-native environments. The role involves leading engineering teams, optimizing solutions for performance and cost, and translating complex decisions for non-technical stakeholders. Candidates should have over 8 years in data engineering, be proficient in programming, and have strong communication skills. The position offers a hybrid work model with competitive compensation and access to technology training.

Qualificações

• 8+ years in data engineering with a focus on cloud-native solutions.
• B2 level English proficiency.
• Experience with data architecture including ingestion, modeling, and orchestration.

Responsabilidades

• Design and implement end-to-end data pipelines and architectures.
• Lead and mentor engineering teams.
• Drive continuous improvement of platform reliability and performance.

Conhecimentos

End-to-end data architecture and design

Cloud-native engineering (Microsoft Azure, AWS, Google Cloud)

Data warehousing and data lake solutions

Programming (Python, SQL, Spark)

RDBMS and NoSQL databases

DevOps/DataOps practices

Team leadership and mentoring

Technical communication

Descrição da oferta de emprego

A technology company in Portugal is seeking a Lead Data Engineer to design and implement end-to-end data pipelines in cloud-native environments. The role involves leading engineering teams, optimizing solutions for performance and cost, and translating complex decisions for non-technical stakeholders. Candidates should have over 8 years in data engineering, be proficient in programming, and have strong communication skills. The position offers a hybrid work model with competitive compensation and access to technology training.