Data Engineer

Grupo Bitsper; Monterrey; Presencial; MXN 391.000 - 446.000; Jornada completa

Descripción de la vacante

Grupo Bitsper is a Mexican AI company building AI infrastructure and BI-ready data foundations. The Data Engineer will support data landscape discovery, profiling, and quality assessment to ensure trusted data for dashboards and analytics.

Responsibilities include documenting data flows, profiling data quality, and contributing to ETL/ELT designs for Azure and Power BI, working with cross-functional teams. The role is on-site with potential travel within Mexico.

Formación

• 3+ years of experience in data engineering, data quality, or a related field.
• Strong expertise in data profiling, cleansing, and quality assessment.
• Hands-on experience with SQL, relational databases, and data-flow mapping.
• Familiarity with Microsoft Azure, Power BI, Dynamics GP, Zoho CRM, SRMI, or similar systems.
• Knowledge of ETL/ELT pipelines, schema design, and entity-relationship modeling.
• Ability to diagnose root causes of data issues and propose sustainable remediation.
• Excellent documentation and validation skills, ensuring traceable evidence for BI decisions.

Responsabilidades

• Data landscape discovery across databases, spreadsheets, and third-party inputs.
• Profile data quality; assess completeness, accuracy, timeliness, and consistency.
• Score issues by severity and remediation effort; produce a Data Quality Assessment Report.
• Suggest ETL/ELT inputs and architecture considerations for BI workloads.
• Collaborate with client units and project team to validate findings and evidence.

Conocimientos

Data profiling

Data quality

Documentation

Root cause analysis

Data mapping

Herramientas

SQL

Azure

Power BI

Dynamics GP

Zoho CRM

SRMI

Descripción del empleo

Grupo Bitsper is a Mexican artificial intelligence company. We build and deploy AI infrastructure and solutions that operate inside our clients' core systems, with governance, security, and measurable results. Headquartered in Monterrey and Mexico City, Grupo Bitsper operates across more than 15 markets in Latin America and works with Mexican and multinational corporations across multiple sectors, in technology partnership with Microsoft, AWS, Google, Meta, and Anthropic.

Role Overview

The Data Engineer will play a pivotal role in the BI Data Discovery and Assessment programme. This position is responsible for data landscape discovery, profiling, and quality assessment across multiple systems and units. The engineer will ensure that the client's future BI dashboards and architecture are built on trusted, well-documented, and high-quality data foundations.

Data Landscape Discovery

• Inventory databases, spreadsheets, third-party platforms, and external inputs
• Map data capture, storage, transfer, and consumption flows
• Document integration points, dependencies, and entity-relationship views

Data Profiling & Quality Assessment

• Conduct read-only profiling and representative sampling of priority sources
• Assess completeness, accuracy, consistency, timeliness, uniqueness, and structural integrity
• Identify duplicates, missing fields, inconsistent naming, and free-text issues
• Diagnose root causes and recommend remediation actions

Quality Scoring & Remediation

• Score issues by severity, business impact, recurrence, and remediation effort
• Produce a Data Quality Assessment Report with quantified findings
• Collaborate with unit focal points to validate findings and record limitations

ETL/ELT & Architecture Inputs

• Support design of ETL/ELT processes for Azure/Power BI integration
• Provide technical inputs for architecture recommendations (data lake vs. warehouse)
• Ensure operational/analytical separation and readiness for BI workloads
• Work closely with the Project Lead, Business Analyst, and Power BI Developer
• Contribute to weekly progress updates, evidence registers, and decision logs
• Support roadmap sequencing by highlighting data dependencies and remediation priorities

Required Skills & Experience

• 3+ years of experience in data engineering, data quality, or a related field
• Strong expertise in data profiling, cleansing, and quality assessment
• Hands-on experience with SQL, relational databases, and data-flow mapping
• Familiarity with Microsoft Azure, Power BI, Dynamics GP, Zoho CRM, SRMI, or similar systems
• Knowledge of ETL/ELT pipelines, schema design, and entity-relationship modeling
• Ability to diagnose root causes of data issues and propose sustainable remediation
• Excellent documentation and validation skills, ensuring traceable evidence for BI decisions

Engagement Model

• On-site focus:Unit workshops, supervised system-access reviews, validation sessions, final presentation
• Remote focus:Profiling, analysis, documentation, remediation logic, report preparation
• Travel:This role may require availability to travel for on-site work with the client

Compensation

MXN $35,000 – $40,000 per month, depending on the candidate's skills and experience.