Senior Data & AI Engineer (Microsoft Fabric & Power BI)

Accenture México; Monterrey; On-site; MXN 600,000 - 1,000,000; Full time

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

We’re Hiring | Senior Data & AI Engineer (5-10 Years Experience)

Are you passionate about transforming data into business value through modern analytics, cloud data platforms, and AI-driven solutions? We’re looking for experienced Data & AI professionals to help organizations modernize their data ecosystems and unlock the full potential of their information assets.

Experience Required:

5-10 Years

English:

Advanced / Fluent

Focus Area:

Data Engineering, Analytics, Microsoft Fabric & AI Solutions

What You’ll Do

• 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.

Technical Skills We’re Looking For

• SQL & T-SQL
• Microsoft Fabric
• Power BI
• Data Analytics & Reporting
• ETL Development & Optimization
• Data Modeling
• Database Performance Tuning
• High Availability & Disaster Recovery
• Database Security & Governance
• Azure Data Factory
• Python for Data & Analytics
• Data Platform Modernization

What We’re Looking For

• 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.
• Strong troubleshooting and root‑cause analysis capabilities.
• Experience collaborating across engineering, delivery, security, and business teams.
• Passion for continuous learning, innovation, and customer success.

Why Join Us?

You’ll work on enterprise‑scale data transformation initiatives, advanced analytics solutions, Microsoft Fabric implementations, AI‑enabled platforms, and cloud modernization programs for global organizations.