Data Engineer: Build Scalable Data Pipelines & Warehouse

Caixa Mágica Software

Portugal

Presencial

EUR 40 000 - 65 000

Tempo integral

Há 8 dias

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Vantagens oferecidas por esta oferta de emprego

Health and Life Insurance
Professional training
Social events and team buildings
Coffee, fruits, snacks

Resumo da oferta

Caixa Mágica Software is seeking an experienced data solutions professional to analyze, plan, implement and test IT data solutions for Data Warehouse projects. You will document technical analyses and tests, oversee data ingestion pipelines, and collaborate with Business Areas and product teams to align with the roadmap.

The role requires strong SQL/NoSQL skills, data modelling expertise, and experience in Agile environments. Banking domain experience is a plus.

Qualificações

  • Experience in Data Warehouse environments and data model construction.
  • At least 4 years in functional/technical analysis and requirement definition.
  • Familiarity with Agile project environments.
  • Banking domain experience is a plus.

Responsabilidades

  • Analyze, plan, implement and test IT data solutions in Data Warehouse projects.
  • Document analyses, solutions, tests and decisions.
  • Lead data ingestion pipelines and ensure production readiness.
  • Collaborate with Business Areas and development teams to refine requirements.

Conhecimentos

SQL/NoSQL
Data analysis
DevOps fundamentals
Data modelling
Communication
Requirements gathering
Autonomy & proactivity
Problem solving

Formação académica

Bachelor's or Master's in Computer Engineering/IT

Ferramentas

Kafka
NiFi
Power BI
MS Office (Outlook/Excel/PowerPoint)

Descrição da oferta de emprego

Caixa Mágica Software is seeking an experienced data solutions professional to analyze, plan, implement and test IT data solutions for Data Warehouse projects. You will document technical analyses and tests, oversee data ingestion pipelines, and collaborate with Business Areas and product teams to align with the roadmap.

The role requires strong SQL/NoSQL skills, data modelling expertise, and experience in Agile environments. Banking domain experience is a plus.

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