Data QA Engineer - Fabric & Power BI

The Adecco Group; México; Remote; MXN 279,000 - 725,000; Full time

Benefits offered by this job

IMSS

12 Vacation Days per Year

15 Days of Christmas Bonus

25 % Vacation Bonus

Life Insurance

Job summary

The Adecco Group seeks a Data QA professional for MS Fabric and Power BI to validate data pipelines, semantic models, and dashboards. You will document defects clearly, test data integrity, and support report testing across Power BI datasets, ensuring reliable analytics.

Responsibilities include shaping the testing framework, validating data across the data warehouse, and collaborating with analytics teams. 100% remote from Mexico with a long-term project contract and growth opportunities.

Qualifications

• Bachelor’s Degree in Information Technologies or related engineering.
• Fluent Conversational English (speaking, reading, writing) at Level B2 to C2.
• Education level required as stated in the posting.

Responsibilities

• Strong understanding SQL & data-comparison skills.
• Document defects clearly with reproducible steps & expected/actual results.
• Comfort testing web/reporting interfaces & validating data outputs.
• Support semantic-model & report testing, including filters, measures, relationships, refresh behavior & user-facing results.
• Maintain test-case libraries, coverage matrices & defect records.
• Data Pipelines & Transformation Experience with data/analytics testing across pipelines, transformations, semantic models, and Power BI datasets/reports.
• Understand testing at architectural/data level, including data pipelines, transformations, semantic models, Power BI datasets/reports & data validation.
• Define the testing approach/framework, not just execute test cases.
• Demonstrate strong architectural understanding, especially at the data/analytics level.

Skills

SQL

Python

Pyspark

ETL

Data Analytics

Data Testing

Power BI

Dashboards

Notebooks

Data Pipelines

Semantic Models

Data Warehousing

Data Loaded

Testing Data Pipeline

Data Science

Testing

Data Validation

Data Quality

Education

Bachelor’s Degree in Information Technologies or related engineering

Tools

Fabric

Microsoft Fabric

Lakehouse

Databricks

Snowflake

Power BI

Job description

Role: Data QA - MS Fabric & Power BI (Levels: Midd & Senior)

Education: Bachelor’s Degree in Information Technologies or related engineering.Languages: Fluent Conversational English (speaking, reading, writing)" Level: B2, C1, C2, FluentModality: Home Office 100 %Location: MéxicoWorkday: Monday - Friday

Monthly Gross Salary: $ 25,000 MXN - $65,000 MXN (On base to experience)

Hiring: 100 % Payroll

Contract: Project - Log Term (at least 1 year)

Benefits

• IMSS
• 12 Vacation Days per Year
• 15 Days of Christmas Bonus
• 25 % Vacation Bonus
• Life Insurance

Plus Benefits

• Online Technical Trainings
• Access to Academies & Certifications

Job Stability & Professional Development

Technical Skills

Essential

• Fabric or equivalent product
• Lakehouse
• Notebooks (validate & test)
• Semantic Models
• Power BI
• Pyspark
• SQL
• ETL
• Python
• Dashboards
• Connect Test Report
• Test Data
• Validated Data Pipeline
• Testing Data Pipeline
• Data Loaded
• Data Warehousing
• Data Science
• Data Testing
• Data Testing
• Data Analytics

Plus

• Microsoft Fabric
• Data Governance
• Real-Time Analytics - Intelligence
• Data Architecture (define)
• Test Architecture
• UAT

Qualifications & Responsibilities

• Strong understanding SQL & data-comparison skills.
• Ability to document defects clearly with reproducible steps & expected/actual results.
• Comfort testing web/reporting interfaces & validating data outputs.
• Support semantic-model & report testing, including filters, measures, relationships, refresh behavior & user-facing results.
• Maintain test-case libraries, coverage matrices & defect records.
• Data Pipelines & TransformationExperience with data/analytics testing, rather than only traditional UI or application testing.
• Understand testing at an architectural/data level, including data pipelines, transformations, semantic models, Power BI datasets/reports & data validation.
• Should be comfortable identifying where testing needs to happen across the data and analytics architecture, not simply testing the final dashboard.
• Understand how to test changes without breaking existing reports, datasets, or downstream analytics.
• Define the testing approach/framework, not just execute test cases.
• Demonstrate strong architectural understanding, especially at the data/analytics level.

Nice to Have

• Experience Pharma or clinical industriesMicrosoft Fabric or equivalent (Azure Data Factory, Databricks, Snowflake)

Soft Skills

• Logical Thinking Results-Oriented ApproachStrong CommunicationOrganizationFollow-ThroughTeamwork