Senior Data Engineer

Smart Consulting • Portugal

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AI Summary

Smart Consulting is seeking a Senior Data Engineer to join an international team focused on developing robust, scalable, and production-ready data solutions. The role involves end-to-end data pipeline development, ETL maintenance, and collaboration with business and technical stakeholders. Key requirements include at least 5 years of Data Engineering experience, professional English fluency, and strong Python and SQL skills.

Key Highlights

5+ years of Data Engineering experience

End-to-end data pipeline development in batch and real-time

Cloud AWS or Azure expertise

Python and SQL development

Airflow, DBT, and Databricks experience

Key Responsibilities

Develop and operate end-to-end data pipelines in batch and real-time

Maintain and evolve ETL processes with focus on robustness, scalability, and quality

Automate and orchestrate workflows with Airflow

Develop and maintain data transformations with DBT

Work with Databricks for data processing and engineering

Apply software development best practices with CI/CD

Develop solutions in Python and collaborate with technical and business teams

Participate in code reviews, technical documentation, and continuous improvement

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Technical Skills Required

Python SQL AWS Azure Airflow DBT Databricks

Benefits & Perks

Flexibility of work

Full visa support if needed

Subsídio de Alimentação

Benefícios Flexíveis

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Nice to Have

Cloud AWS or Azure experience

DBT and Airflow knowledge

Databricks experience

Data modeling and analytical platforms

CI/CD practices

Collaborative and continuous improvement environments

Job Description

Procuramos um(a) Senior Data Engineer para integrar uma equipa internacional, focada no desenvolvimento de soluções de dados robustas, escaláveis e em produção.

Este é um papel com forte componente técnica e colaboração próxima com equipas de negócio e stakeholders técnicos, num contexto onde a qualidade, a autonomia e o impacto real são valorizados.

🧑 💻 Como será o teu dia a dia:

Desenvolver e operar pipelines de dados end-to-end, em batch e real-time

Manter e evoluir processos ETL com foco em robustez, escalabilidade e qualidade

Trabalhar com tecnologias Cloud AWS ou Azure em ambientes modernos de dados

Automatizar e orquestrar workflows com Airflow

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