Senior Data & AI Engineer — Fabric & Power BI Expert

Accenture PLC

Monterrey

On-site

MXN 900,000 - 1,300,000

Full time

8 days ago

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Job summary

Accenture PLC is hiring a Senior Data & AI Engineer to transform data into business value through analytics, cloud data platforms, and AI-driven solutions. You will serve as a trusted advisor, deliver workshops, and assess architecture, scalability, and security for client data ecosystems.

The role demands 5-10 years in Data Engineering, Analytics, BI, or Data Platform tech, with strong English communication and a proven track record of facilitating workshops and guiding stakeholders.

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.

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

Data Engineering
Analytics
Consulting
English Proficiency

Tools

SQL & T-SQL
Microsoft Fabric
Power BI
ETL Development
Azure Data Factory
Python
Data Modeling

Job description

Accenture PLC is hiring a Senior Data & AI Engineer to transform data into business value through analytics, cloud data platforms, and AI-driven solutions. You will serve as a trusted advisor, deliver workshops, and assess architecture, scalability, and security for client data ecosystems.

The role demands 5-10 years in Data Engineering, Analytics, BI, or Data Platform tech, with strong English communication and a proven track record of facilitating workshops and guiding stakeholders.

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