Data Engineer - Consulting/Big 4 (Relocate to Malta)

Black Pen Recruitment; Ciudad de México; Híbrido; MXN 1.339.000 - 1.854.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation Package

Visa sponsorship

Descripción de la vacante

Black Pen Recruitment is seeking a Data Engineer for a Malta-based client, offering a hybrid work model and a full-time, permanent role. The position focuses on designing and implementing BI and large-scale data analytics solutions using the Microsoft BI stack.

You'll collaborate with clients and cross-functional teams, translate business needs into data architectures, and deliver robust data models and pipelines while maintaining governance and CI/CD practices.

Formación

• Experience designing and implementing Azure data solutions and BI pipelines.
• Strong communication and collaboration skills are essential.
• Familiar with CI/CD and microservices.

Responsabilidades

• Architect end-to-end BI and data analytics solutions.
• Design data models and pipelines to support analytics.
• Embed architecture standards, governance, and processes.
• Work with business experts to translate requirements into reporting.
• Assist in scoping, estimation and planning for projects.
• Stay up to date with new technologies and best practices.

Conocimientos

Azure Data solutions

Power BI

OLAP & Microsoft BI Stack

Master Data Management

Data Governance

CI/CD

Microservices

Azure DevOps

Communication

Analytical thinking

English proficiency

Dynamics 365 knowledge

Educación

Graduate-level CS/related field

Professional qualification in related tech

Herramientas

Microsoft Power Platform

Descripción del empleo

Black Pen Recruitment is seeking a Data Engineer for a Malta-based client, offering a hybrid work model and a full-time, permanent role. The position focuses on designing and implementing BI and large-scale data analytics solutions using the Microsoft BI stack.

You'll collaborate with clients and cross-functional teams, translate business needs into data architectures, and deliver robust data models and pipelines while maintaining governance and CI/CD practices.