Senior Data Engineer - Join Our Data Engineering Team

Talanto; Lisboa; Presencial; EUR 85 000 - 110 000; Tempo integral

Resumo da oferta

Talanto in Lisbon, Portugal, seeks a Senior Data Engineer to design, develop, and maintain scalable data pipelines and Data Warehouse solutions that support reporting, analytics, regulatory and financial initiatives across the organization.

You will join a team of around 40 Data Engineers, Data Analysts, Data Visualization Experts, and Project Managers responsible for building and evolving the company's Data Platform, using Python, SQL, Data Vault 2.0 and Kimball methodologies, with Git and

Qualificações

• Experience with Data Warehousing concepts.
• Knowledge of Data Vault 2.0.
• Knowledge of Kimball methodology.
• Advanced Python programming.
• Advanced SQL querying.

Responsabilidades

• Design and build scalable data pipelines for large data volumes.
• Develop Data Warehouse solutions and Datamarts.
• Create robust data transformations using Python and SQL.
• Apply Data Vault 2.0 and Kimball methodologies.
• Collaborate with business and tech teams to deliver data solutions.
• Use Git and contribute to CI/CD processes.
• Troubleshoot and optimise pipelines.
• Work independently while evolving the Data Platform.

Conhecimentos

Data Warehouse

Data Vault 2.0

Kimball

Python

SQL

Descrição da oferta de emprego

SQL Python CI/CD

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Overview

As a Senior Data Engineer within the IT Data division, you will be responsible for designing, developing, and maintaining scalable data pipelines and Data Warehouse solutions that support reporting, analytics, regulatory and financial initiatives across the organization.

You will join a team of approximately 40 Data Engineers, Data Analysts, Data Visualization Experts, and Project Managers responsible for building and evolving the company's Data Platform.

Key Responsibilities

• Design and develop scalable data pipelines processing large data volumes.
• Build and maintain Data Warehouse solutions and Datamarts.
• Develop robust data transformations using Python and SQL.
• Apply Data Vault 2.0 and Kimball methodologies.
• Collaborate with technical and business teams to deliver reliable data solutions.
• Use Git for version control and contribute to CI/CD processes.
• Troubleshoot and optimise existing data pipelines.
• Work independently while contributing to the overall evolution of the Data Platform.

Mandatory Skills

• Strong experience with Data Warehouse concepts.
• Solid knowledge of Data Vault 2.0.
• Strong understanding of Kimball methodology.
• Advanced Python.
• Advanced SQL.