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Salary
≈ $22k – $65k per year (Estimated)
Location
In office (Port Vila)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 2, 2026. Teamlyzer scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Teamlyzer is a Portuguese platform where IT professionals share independent reviews of what it is like to work at technology companies in Portugal. Users read and write anonymous company reviews and job interview experiences, helping developers compare employers, while the site also lists tech job offers. It focuses on the Portuguese IT market and aims to bring transparency to technology employers.

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

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

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