Senior Dataiku Engineer — Hybrid Lisbon, Data Pipelines

ITDS; Lisboa; Híbrido; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

ITDS in Lisbon invites a Senior Data Engineer to design and optimize data pipelines, dashboards, and analytics solutions. You will leverage Dataiku Expert, Power BI, SQL, and Python to deliver scalable data capabilities in a hybrid work setup.

The role requires 4+ years in data engineering, strong problem-solving, and English communication for collaboration across teams. Remote work up to two days per week is possible in a fast-paced, evolving environment.

Qualificações

• Minimum 4 years of experience in data engineering or related roles.
• Expert level 3 on Dataiku Data Science Studio.
• Proficient in Power BI, SQL, and Python with hands-on delivery experience.
• Strong problem-solving skills and attention to detail.
• Ability to work effectively in a hybrid model with some remote work eligibility.
• Proven experience delivering scalable data solutions in a fast-paced environment.

Responsabilidades

• Design, develop, and maintain data pipelines and architectures using Dataiku to support complex business needs.
• Develop and optimize dashboards and reports using Power BI to deliver actionable insights.
• Write and optimize SQL queries for data retrieval and accuracy.
• Implement and enhance Python scripts for data processing and automation.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.
• Ensure performance, security, and scalability of data systems in a hybrid environment.
• Promote best practices in data engineering and continuous workflow improvement.

Conhecimentos

Data pipelines

Analytics

Hybrid collaboration

Ferramentas

Dataiku

Power BI

SQL

Python

Descrição da oferta de emprego

ITDS in Lisbon invites a Senior Data Engineer to design and optimize data pipelines, dashboards, and analytics solutions. You will leverage Dataiku Expert, Power BI, SQL, and Python to deliver scalable data capabilities in a hybrid work setup.

The role requires 4+ years in data engineering, strong problem-solving, and English communication for collaboration across teams. Remote work up to two days per week is possible in a fast-paced, evolving environment.