Hybrid Data Engineer - Lisbon | ETL, Azure & Data Pipelines

Komodo Consulting; Lisboa; Híbrido; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

Komodo Consulting in Lisbon is seeking a Data Engineer to join a Tech Company project. You will design data models, build data products, and develop APIs to improve data integration across internal systems and processes.

The role requires strong SQL and Python expertise, plus experience with Azure Data Factory, Databricks, and ETL/ELT pipelines. Hybrid work 2 days a week at the office, collaborating with business partners and developers to deliver reliable data solutions.

Qualificações

• Proven Data Engineer experience in fast-paced environments.
• Strong SQL and SQL-like query language skills.
• Advanced Python proficiency and experience organizing Python projects.
• Extensive experience with Azure Data Factory and Databricks.

Responsabilidades

• Design and build data models to support Data Science, BI, and downstream data consumption.
• Develop APIs and data products to improve data integration across systems.
• Monitor and maintain data pipelines and communicate issues to leadership.
• Gather, document, and validate technical and functional requirements with business partners and developers.
• Collaborate with cross-functional teams to coordinate data initiatives across systems.
• Support delivery of data solutions for accessible, reliable data for business teams.

Conhecimentos

SQL expertise

Python programming

Azure Data Factory

Databricks

ETL/ELT pipelines

Cloud platforms

Data modeling

Data governance

CI/CD workflows

GitLab

Ferramentas

GitLab

Descrição da oferta de emprego

Komodo Consulting in Lisbon is seeking a Data Engineer to join a Tech Company project. You will design data models, build data products, and develop APIs to improve data integration across internal systems and processes.

The role requires strong SQL and Python expertise, plus experience with Azure Data Factory, Databricks, and ETL/ELT pipelines. Hybrid work 2 days a week at the office, collaborating with business partners and developers to deliver reliable data solutions.