Senior / Lead Data Engineer

DataSmart; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Uma empresa de consultoria em tecnologia em Lisboa está buscando um(a) Senior / Lead Data Engineer que será responsável por projetar e implementar arquiteturas de dados de ponta a ponta e otimizar pipelines na nuvem, especialmente usando tecnologias Microsoft. O candidato ideal terá experiência sólida em engenharia de dados, programação em Python, e conhecimento de ferramentas como Azure Data Factory e Azure Data Lake. Essa posição oferece um ambiente tecnológico atrativo e oportunidades de progresso na carreira.

Qualificações

• Experiência sólida em arquitetura e design de dados.
• Conhecimento prático de engenharia de dados em nuvem, preferencialmente no Azure.
• Habilidades de programação em Python, SQL e/ou Spark.

Responsabilidades

• Projetar e implementar arquiteturas de dados de ponta a ponta.
• Construir e otimizar pipelines de dados nativos de nuvem.
• Colaborar com partes interessadas em negócios e análises.

Conhecimentos

Arquitetura de dados

Engenharia de dados em nuvem

Python

SQL

Spark

CI/CD

Ferramentas

Azure Data Factory

Azure Data Lake

Amazon Redshift

MongoDB

ElasticSearch

Descrição da oferta de emprego

Tel.: [phone] - Lisboa
Tel.: [phone] - Braga
Fax: [phone]
(Chamada para a rede fixa nacional) (Call to the national fixed network)

About Us: DataSmart is a Portuguese company, positioning itself as a consulting company of excellence, with over 20 years of existence. We are specialized in Technologies and Information Systems services, for the Portuguese and International markets. We pride ourselves on fostering a culture of involvement, experience, and excellence.

Join our team as a Senior / Lead Data Engineer (Hybrid – Lisbon)!

What You’ll Do:

• Design and implement end-to-end data architectures, from ingestion to consumption (e.g. Medallion architectures).
• Build and optimize cloud-native data pipelines with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse).
• Ensure high standards for performance, cost efficiency, reliability, and scalability.
• Implement data quality, validation, lineage, documentation, and monitoring at scale.
• Collaborate closely with business and analytics stakeholders, translating requirements into robust technical solutions.
• For Lead profiles: mentor engineers, review designs and code, and help shape platform standards and long-term evolution.

Qualifications:

• Strong experience in data architecture and design (ingestion, modeling, storage, orchestration).
• Hands-on experience with cloud-native data engineering, preferably in Microsoft Azure, but open to AWS or GCP with equivalent tooling.
• Solid background in data warehouses and data lakes, such as: Azure Data Lake, Delta Lake, BigQuery, Amazon Redshift
• Strong programming skills in Python, SQL, and/or Spark.
• Experience with RDBMS (Oracle, MS SQL Server) and/or NoSQL databases (MongoDB, ElasticSearch, BigQuery).
• Practical knowledge of DevOps / DataOps, including CI/CD pipelines.
• Proven ability to optimize pipelines and storage for performance, cost, and operational stability

AtDataSmart, you will have the opportunity to integrate into a solid company and participate in projects of high recognition, nationally and internationally, with an appealing technological environment and career progression.

Excellence in the way to the future!

Connect with Us: Follow us on LinkedIn for updates on career opportunities, company news, and industry insights! For further details, visit us at www.datasmart.pt

#JoinOurTeam #DataSmart #ThinkDataBeSmart #Data Engineer #LeadData

Do you accept the challenge?
We are waiting for you!