Senior Data & AI Engineer: Fabric, Power BI & AI

Accenture México

Monterrey

On-site

MXN 600,000 - 1,000,000

Full time

4 days ago
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Job summary

Accenture México is seeking a Senior Data & AI Engineer with 5–10 years of experience to help clients turn data into business value through modern analytics, cloud platforms, and AI solutions. You will lead data platform initiatives, advise on architecture, and drive data modernization.

You’ll collaborate with delivery teams and stakeholders across engineering, security, and business units, delivering hands-on implementations, workshops, and knowledge transfer to enable scalable, reliable data

Qualifications

  • 5-10 years of experience in Data Engineering, Analytics, BI, or Data Platform technologies.
  • Strong consulting or customer-facing experience.
  • Excellent communication skills in English.
  • Proven ability to facilitate workshops and provide technical guidance to stakeholders.

Responsibilities

  • Serve as a trusted advisor for Data Platforms, Database Engineering, Analytics, and AI solutions.
  • Deliver technical workshops, knowledge transfer sessions, and customer enablement activities.
  • Assess data architecture, platform health, scalability, performance, security, reliability, and operational readiness.
  • Troubleshoot databases, data pipelines, integrations, data models, analytics solutions, and reporting platforms.
  • Analyze query performance, logs, and data quality indicators to identify root causes and optimization opportunities.
  • Develop prioritized remediation, modernization, and performance improvement plans aligned with customer objectives.

Skills

SQL/T-SQL
Microsoft Fabric
Power BI
Data Analytics
ETL Development
Data Modeling
DB Performance Tuning
HA/DR
DB Security
Azure Data Factory
Python
Data Platform Modernization

Job description

Accenture México is seeking a Senior Data & AI Engineer with 5–10 years of experience to help clients turn data into business value through modern analytics, cloud platforms, and AI solutions. You will lead data platform initiatives, advise on architecture, and drive data modernization.

You’ll collaborate with delivery teams and stakeholders across engineering, security, and business units, delivering hands-on implementations, workshops, and knowledge transfer to enable scalable, reliable data

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