Data Engineer - Senior

Jobgether; México; A distancia; MXN 1.675.000 - 2.606.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Remote from Slovenia

Large-scale digital transformation

Descripción de la vacante

Jobgether busca un Data Engineer - Senior para liderar el diseño y desarrollo de soluciones de datos en un entorno Azure, con énfasis en pipelines ETL/ELT y plataformas modernas como Databricks y Delta Lake. El rol es remoto y enfocado a una transformación digital a gran escala, trabajando con equipos multidisciplinarios y stakeholders para entregar datos confiables.

Se valorará experiencia en Python, SQL, Git y herramientas de IA para generación de código y automatización, todo dentro de una

Formación

• Al menos 5 años de experiencia práctica con Python y SQL en ingeniería de datos.
• Al menos 3 años de experiencia trabajando con servicios de Azure (Azure Storage, Azure SQL, Azure Synapse, etc.).
• Al menos 3 años de experiencia con Azure Databricks y Delta Lake.
• Al menos 3 años diseñando soluciones de datos y datasets analíticos de confianza.
• Al menos 4 años de experiencia con control de versiones (Git).
• Al menos 1 año de experiencia práctica usando herramientas de IA para generación de código, análisis o automatización.
• Sólidos principios de ingeniería de datos, ETL/ELT, integración de datos y desarrollo de pipelines.

Responsabilidades

• Diseñar, desarrollar y mantener soluciones de datos escalables para una transformación digital a gran escala.
• Construir y optimizar pipelines ETL/ELT que integren datos de múltiples fuentes.
• Desarrollar soluciones basadas en la nube usando el ecosistema Azure (Data Factory, Databricks, Synapse, Data Lake, SQL).
• Usar Python y SQL para transformaciones, flujos de procesamiento e integraciones.
• Diseñar y gestionar modelos y arquitecturas de datos para escalabilidad, rendimiento y calidad.
• Trabajar con Delta Lake y Azure Databricks para soluciones modernas de procesamiento y almacenamiento.
• Colaborar con stakeholders para entender requisitos y traducirlos en soluciones de ingeniería de datos.
• Aplicar control de versiones (Git) para desarrollo colaborativo.
• Aprovechar herramientas de IA para generación de código, análisis y automatización donde corresponda.
• Solucionar problemas técnicos y optimizar flujos de datos para mejorar rendimiento y confiabilidad.

Conocimientos

Python

SQL

ETL/ELT

Data integration

Cloud data architectures

Herramientas

Azure

Azure Data Factory

Azure Databricks

Delta Lake

Azure Synapse

Azure SQL

Git

AI tools

Descripción del empleo

Data Engineer - Senior

Empresa : Jobgether Tipo de empleo : Tiempo completo Remote / Work from Home JobCopilot will tailor your resume and auto-fill the application

Descripción del trabajo - Data Engineer - Senior

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer - Senior based in Mexico.

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that support reliable, analytics-ready information across the organization. Working closely with business stakeholders, product owners, architects, and technical teams, you will help turn diverse data sources into trusted and usable datasets. The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data architectures. You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, and Delta Lake. This is an environment where strong engineering practices, problem-solving, and data quality directly contribute to business and technology outcomes.

Accountabilities

• Design, develop, and maintain scalable, reliable data solutions supporting a large-scale digital transformation program.
• Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics-ready datasets.
• Develop cloud-based data solutions using the Microsoft Azure ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and related services.
• Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions.
• Design and manage data models and architectures that support scalability, reliability, performance, and data quality.
• Work extensively with Azure Databricks and Delta Lake to build and optimize modern data processing and storage solutions.
• Collaborate with business stakeholders, product owners, data architects, and technical teams to understand requirements and translate them into effective data engineering solutions.
• Apply version control and engineering best practices using tools such as Git to support maintainable, collaborative development.
• Leverage AI-powered tools where appropriate for code generation, data analysis, automation, optimization, and other data engineering activities.
• Troubleshoot technical issues, optimize data workflows, and continuously improve pipeline performance, reliability, and maintainability.
• Communicate technical concepts clearly and contribute to effective collaboration across business and technical teams.

Requirements:

• At least 5 years of hands-on experience with Python and SQL in a data engineering environment.
• At least 3 years of experience working with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking.
• At least 3 years of hands-on experience with Azure Databricks and Delta Lake.
• At least 3 years of experience designing data solutions and developing trusted, analytics-ready datasets.
• At least 4 years of experience with version control systems, particularly Git.
• At least 1 year of practical experience using AI tools for code generation, data analysis, automation, optimization, or related data engineering tasks.
• Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipeline development.
• Advanced SQL development and data transformation capabilities.
• Proven experience working with cloud-based data platforms and modern data architectures.
• Strong analytical and problem-solving abilities, with a structured approach to diagnosing and resolving complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively with both technical teams and business stakeholders.
• Ability to work independently in a remote environment while maintaining strong ownership, organization, and delivery focus.

Benefits:

• Fully remote position, offering flexibility to work from Slovenia.
• Opportunity to contribute to a large-scale digital transformation initiative with significant data engineering scope.
• Work with a modern Microsoft Azure cloud data ecosystem and widely used data engineering technologies.
• Exposure to advanced platforms and tools including Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
• Opportunity to apply AI-powered engineering tools to improve development, automation, analysis, and optimization.
• Collaboration with multidisciplinary teams including business stakeholders, product owners, data architects, and technical specialists.
• Opportunity to work on scalable, production-focused data solutions with direct business impact.
• Remote working environment designed to support autonomy and flexibility.