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DEUS: human(ity)-centered AI

Human(ity)-centered ai

Software House & Internet · 51-200 · Website

Na DEUS initiative, desafiamos-nos a explorar e construir serviços de IA para criar um impacto positivo no nosso futuro. Conectamos os institutos empresariais, académicos e governamentais na troca de ideias e experiências no desenvolvimento de aplicações de IA centradas na humanidade.

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4.3/5

6 Vagas encontradas na DEUS: human(ity)-centered AI

Backend

Cloud AI Engineer - Golang [Medior/Senior]

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Sénior Nova

Fullstack

Spontaneous Application

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Nova

Data scientist, data engineer, IA, ML ou big data

Data Analytics Engineer [Medior/Senior]

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Sénior Nova

Diretor / tech lead / CTO

AI Tech Lead [Senior]

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Sénior Nova

Diretor / tech lead / CTO

Head of Data & Reporting

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Sénior Nova

Analista de negócio

Business Operations Specialist [Porto]

DEUS: human(ity)-centered AI 4.3 75 Reviews

Porto (Regime: Híbrido) Middle Nova

Data Analytics Engineer [Medior/Senior]

Nova
Data scientist, data engineer, IA, ML ou big data
Porto
Híbrido
Sénior

Concorrer A candidatura é feita no site da empresa.

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Sobre a vaga

Building dimensional models in dbt on Snowflake, from staging to the serving layer. You will develop core sales pipeline domains and extend models into the semantic layer in Power BI. The role involves collaborating in a distributed team to deliver models that are easy to understand and maintain.

O que vais fazer

Building dimensional models (Kimball) in dbt on Snowflake, from staging to the serving layer
Developing core sales pipeline domains: opportunity funnel, sales actuals, delivery and margin reporting, and later group management reporting
Extending your dbt models into the semantic layer in Power BI
Implementing historical logic (dbt snapshots, SCD2), data quality tests, and contributing to the CI/CD pipeline
Working closely with business analysts and controllers to sharpen definitions and ensure alignment across countries
Reviewing colleagues’ work and contributing to a high‑quality modelling standard
Collaborating in a distributed team across NL, DE, CH, PT, and MY, using English daily

O que é pedido

5+ years of experience working in data modelling and analytics, with proven production experience in dbt — not pilots or courses, but real models running and maintained in a live environment
Strong SQL skills on a cloud data warehouse, ideally Snowflake
Solid experience with dimensional modelling (Kimball), especially designing and accelerating fact tables
Comfort working with Git‑based workflows, including peer review as a natural part of your process
Experience building semantic models in Power BI, including DAX measures and row‑level security (RLS)
Fluent English for daily collaboration
You enjoy refining definitions with business analysts and controllers
You’re comfortable reviewing the work of colleagues and contributing to shared standards
You value clarity, ownership, and delivering models that are easy to understand and maintain

Valorizado

Experience with finance or sales data (ERP, CRM) and an eye for definition differences across an organisation
Exposure to NetSuite, Dynamics 365, Tagetik, or Pigment as data sources
Experience with CI/CD for Power BI and the PBIP format
Interest in AI‑assisted development within this stack

O que é oferecido

Community: Join a friendly multicultural team that loves to connect, through regular social events, activities, and our yearly company retreat, Pantheon
Flexibility: We encourage a hybrid setup, but there are no mandatory office days. You decide when to come in and how to manage your time
Growth: We support your development with a €1000 annual learning budget, dedicated mentorship, and a clear growth framework
Annual reviews to recognize your growth and make sure your salary reflects it
Well-being: Benefit from health insurance, flexible benefits, extra vacation days with tenure, and regular check-ins to support your well-being

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

Investimento de tempo

2 h 30 min

Investimento de tempo em entrevistas

Índice de dificuldade das entrevistas

51/100

Processo de entrevista

Candidatura
Triagem de currículos
Entrevista de RH com Especialistas de Recrutamento (35-40 min)
Inquérito de auto-avaliação
Entrevista técnica com a equipa técnica (60 min)
Desafio de Codificação ou 2ª Entrevista Técnica
Oferta

De 45 reviews de entrevistas na DEUS: human(ity)-centered AI. Ler as reviews

Quanto paga este cargo

Este anúncio não mostra o salário

Comparado com: Data scientist, data engineer, IA, ML ou big data Salários reportados 98 respostas

abaixo do intervalo típico O intervalo típico é €18k - €38k mediana €24k acima do intervalo típico

De 98 salários reportados para Data scientist, data engineer, IA, ML ou big data, a 14 meses para comparar com um valor anual. Calculadora de salários TI

Este anúncio não mostra o salário. Ver as vagas que mostram

✸ Benefícios e vantagens (8)

Comida, fruta e bebida
Condições para bicicleta
Flexibilidade de horário
Mais de 22 dias de férias
Perto de transportes públicos
Plafond certificações e conferências
Prémios de performance
Seguro de saúde

✸ Valores e cultura (9)

Ambiente de start-up
Códigos de alta qualidade
Escolha do trabalhador
Igualdade de género
Incentivo à criatividade & inovação
Membros impressionantes na equipa
Metodologias agéis
Onboarding técnico
Unit testing

Vagas semelhantes abertas agora

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6 Vagas encontradas na DEUS: human(ity)-centered AI 🔔Avisar-me de novas vagas na DEUS: human(ity)-centered AI

Cloud AI Engineer - Golang [Medior/Senior]

Spontaneous Application

Data Analytics Engineer [Medior/Senior]

AI Tech Lead [Senior]

Head of Data & Reporting

Business Operations Specialist [Porto]

6 Vagas encontradas na DEUS: human(ity)-centered AI