Senior Data Engineer - Join Our Data Engineering Team

emagine; Lisboa; Presencial; EUR 65 000 - 90 000; Tempo integral

Resumo da oferta

emagine is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and Data Warehouse solutions that support reporting and analytics across the organization.

You will join a team of around 40 data professionals and partner with analysts, engineers, and PMs to evolve the Data Platform, applying Data Vault 2.0 and Kimball methods while advocating best practices in Python, SQL, and CI/CD.

Qualificações

• Experience designing scalable data pipelines and data warehousing solutions.
• Strong knowledge of Data Vault 2.0 and Kimball methodologies.
• Proficient in Python and SQL with focus on performance.

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.
• 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.

Conhecimentos

Data Warehouse concepts

Data Vault 2.0

Kimball methodology

Python

SQL

Data pipelines

Git

CI/CD

Ferramentas

Git

CI/CD tooling

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