Findmore Consulting

Findmore Consulting S.A. is a company specialized in Information Technology and process excellence, including professional services, nearshoring, software development, UX/UI, and Agility. Since 2006, we have contributed to major projects in Portugal and Europe. Today, the Findmore Group has over 500 employees and an annual revenue of over 40 million euros.
Sobre a empresa

Data engineer - mid-level microsoft azure

Remoto

location Lisbon

date 19 de outubro de 2026

types Full-time

Sobre a vaga

Findmore SA está a recrutar um Data Engineer – Mid-Level Microsoft Azure. O profissional irá colaborar com equipas técnicas para implementar soluções de dados em ambientes Microsoft Azure, desenvolvendo pipelines ETL/ELT escaláveis e contribuindo para o design de soluções end-to-end.

O que vais fazer
  • Collaborate with business and technical teams to gather and analyze data requirements
  • Implement data solutions in Microsoft Azure environments following data engineering best practices
  • Develop and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks and/or PySpark notebooks
  • Prepare, transform and model data to support Data Lakehouse solutions
  • Contribute to the design and implementation of end-to-end data solutions, from ingestion and transformation to data delivery
  • Ensure data quality, consistency and reliability throughout the data lifecycle
  • Collaborate with the technical team to deliver scalable and performance-oriented data solutions
  • Contribute to continuous improvement initiatives within the data engineering environment
O que é pedido
  • Between 2 and 5 years of professional experience in Data Engineering
  • Solid experience with the Microsoft Azure ecosystem, particularly Azure Databricks
  • Experience with distributed data storage technologies, especially Azure Data Lake Storage
  • Strong knowledge of data formats such as Parquet and Delta Lake
  • Experience across the data solution lifecycle, including ingestion, transformation, modelling and delivery
  • Ability to contribute to scalable and performance-oriented data architectures
  • Experience working with Agile methodologies, particularly Scrum
  • Good analytical and problem-solving skills
Valorizado
  • Experience with Azure Data Factory
  • Knowledge of Scala to PySpark migration
  • Knowledge of Azure Synapse
  • Experience with Jira and Confluence

Benefícios e vantagens (8)

  • Comida, fruta e bebida
  • Estacionamento gratuito ou condições especiais
  • Flexibilidade de horário
  • Ginásio & atividades desportivas
  • Jogos no escritório
  • Perto de transportes públicos
  • Programa de descontos
  • Seguro de saúde

Valores e cultura (7)

  • Aberto a open source
  • Ambiente internacional
  • Depende do projeto / equipa
  • Equipa com senioridade elevada
  • Incentivo à criatividade & inovação
  • Membros impressionantes na equipa
  • Metodologias ágeis

Processo de entrevista

  • Análise do perfil pela equipa de recrutamento
  • Validação técnica pelos nossos Tech Leads
  • Entrevista de RH e Career Development
  • Avaliação de soft skills alinhada com a cultura do cliente
  • Entrevista final com o cliente
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