20 publicaciones de empleo destacadas de cloud data analytics engineer en los reyes cdmx (¡Están contratando!)

Cloud Data Analytics Engineer New
Dotmatics —Ciudad de México, CDMX
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
3d
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Practice Customer Engineer, Data Analytics, Google Cloud
Google —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Inglés
Data Engineer Senior – ETL & Python 2796
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Inglés
- SQL
- Python
Postulación rápida
Practice Customer Engineer Associate, Data Analytics, Enterprise
Google —Ciudad de México, CDMX
- Informática
- Experiencia en ventas
- Oratoria
11d
Senior Software Test Engineer
NielsenIQ —Ciudad de México, CDMX
- $45,000 a $55,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
Postulación rápida
DevOps Engineer
OODOO —Ciudad de México, CDMX
- $55,000 a $65,000 por mes
- Tiempo completo
- Azure
- DevOps
- SQL
Postulación rápida
12d
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- $35,000 a $40,000 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Site Reliability Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $40,000 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
SnowFlake Data Engineer
Key Prediction —Ciudad de México, CDMX
- Desde $45,000 por mes
- Aplicaciones en linea
- Azure
- Ingeniería
- Inglés
Postulación rápida
Data Pipeline & Platform Engineer, Observability & Security
Qualcomm —Ciudad de México, CDMX
- Análisis de datos
- Licenciatura
- Linux

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Cloud Data Analytics Engineer New

Dotmatics -
Ciudad de México, CDMX

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Información del empleo

Hace 3 días

Cualificaciones

Microsoft Powerpoint
Gestión de costos
Looker
Microsoft Excel
Administración de personal
Tooling
AWS Certification
Análisis de datos
Git
Inglés
Google Cloud Platform
Tableau
Experiencia en bases de datos
SQL
Sistemas de control de versiones
Liderazgo
Python

Descripción completa del empleo

Our Why At Dotmatics

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we need

Dotmatics is seeking a Data Analytics Engineer to support the Luma team, you will own the operational health, architecture intelligence, and cost optimization of our cloud environments, AI usage customer data and more. In this role you will develop a deep understanding of our infrastructure, connect architectural decisions to business outcomes, and give the engineering leadership, Senior leadership and Corporate Data teams the visibility they need to make smart, cost-conscious decisions at scale.

In this role you will get to:

Cloud Data Architecture and Cost Intelligence

Develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components.
Map the relationship between architectural decisions and cost drivers, producing clear models that connect system behaviour to spend.
Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services.
Build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends.
Develop high-impact reporting and analytics providing visibility into engineering and customer operations, lead efforts to scale reporting through automation
Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics
Perform ad hoc data exploration and analysis to answer immediate business needs.
Identify opportunities to improve data quality, performance, and observability
Help develop standards for analytics engineering best practices

Technical Operations

Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices.
Partner with engineering teams to review architectural decisions for cost impact before and after deployment.
Maintain runbooks and documentation for operational data management processes.

Stakeholder Collaboration

Serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders.
Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences.
Collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications.
Work cross-functionally on handoffs and alignment across shared operational responsibilities.

We are looking for people who have 5+ years of experience in data analysis with a deep understanding of cloud operations, cloud architecture, or a related technical infrastructure role, with demonstrated experience analysing and optimising cloud spend at enterprise scale. This role requires advanced proficiency in English, including the ability to communicate complex ideas clearly in writing and speech, given the level of client interaction and cross-functional leadership involved.

The key skills we are looking for are:

Advanced SQL and/or Python, particularly data science and report generation frameworks.
Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise.
Strong understanding of cloud-native architectures including containerisation, serverless, managed databases, and distributed systems.
Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent.
Ability to produce clear written and visual communication of technical findings for executive audiences.
Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects
BI tools (e.g., Looker, Mode, Tableau)
Ability to work directly with business teams to align on KPIs, define requirements, and deliver impactful insights
Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis
Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentation.

You may also have:

Experience in life sciences, pharma, or regulated industry cloud environments including GxP or 21 CFR Part 11 contexts.
Familiarity with FinOps frameworks and cloud cost management tooling such as CloudHealth, Apptio, or native cloud cost tools.
Prior experience in a high-growth SaaS or enterprise software company.
Relevant certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, or FinOps Certified Practitioner.

Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.

By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

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cloud data analytics engineer empleos en los reyes cdmx

Cloud Data Analytics Engineer New

Data Engineer - Databricks

Data Engineer

Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund

BI Azure Data Engineer

Practice Customer Engineer, Data Analytics, Google Cloud

Data Engineer Senior – ETL & Python 2796

Practice Customer Engineer Associate, Data Analytics, Enterprise

Senior Software Test Engineer

DevOps Engineer

Senior AI Application Engineer

Senior Data Engineer

Systems Engineer - Must Reside in Mexico City

Senior Data Engineer (Scala / Spark / AWS)

Senior Data Engineer

0152 - Data & Analytics Engineer Mid

Site Reliability Engineer

Principal Data Engineer

SnowFlake Data Engineer

Data Pipeline & Platform Engineer, Observability & Security

Quiero recibir la alerta de empleo más reciente para cloud data analytics engineer en los reyes cdmx

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