Senior Data Engineer - Join Our Data Engineering Team

emagine Polska; Lisboa; Presencial; EUR 70 000 - 90 000; Tempo integral

Resumo da oferta

emagine Polska is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and Data Warehouse solutions that support reporting, analytics, regulatory and financial initiatives.

You will join a team of data professionals responsible for evolving the company's Data Platform, applying Data Vault 2.0 and Kimball methodologies, with strong Python/SQL skills and a focus on robust, automated data workflows.

Qualificações

• Experience with data warehousing concepts and architectures.
• Proficiency with Data Vault 2.0.
• Proficiency with Kimball methodology.
• Strong Python and SQL for data transformations.
• Experience building performant data pipelines.
• Familiarity with Git and CI/CD fundamentals.

Responsabilidades

• 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.
• 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.

Conhecimentos

Data Warehouse concepts

Data Vault 2.0

Kimball methodology

Advanced Python

Advanced SQL

Performant data pipelines

Ferramentas

Git

CI/CD

Descrição da oferta de emprego

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.
• Experience building performant data pipelines.
• Git.
• CI/CD fundamentals.

Soft Skills

• Strong analytical skills.
• Ability to work autonomously.
• Problem-solving mindset.
• Excellent communication.
• Team player.

Language

English B2

Focus:

• Data Vault 2.0
• Kimball