Share this Job


Apply now »

Date: Jul 21, 2021

Location: San Pedro Garza García, NLE, MX, 66265

Company: CEMEX


Job Title

Data Engineer

Job Description

This position leads and execute Data Analysis and Business Intelligence activities for a specific track of the global commercial development area, to support and speed up transformation by establishing Data Mgmt. best practices and common processes, to improve productivity, create better experiences and maximize business results. 


Supporting multiple areas and business lines, in all phases of Business Intelligence, Reporting and Using Data Architecture to provide and/ or design data models, work methods, frameworks, techniques, and bringing best practices, and guiding and/ or executing continuous improvement programs to facilitate the achievement of business goals. 


This role also enforces self service and support Data Governance as well as looks for re usability of Data Models, Data Sets, and support accessibility of Data Sets and at the same time observer the definition of proper security access.

Main Responsibilities

  • Support Customer Data Modeling and Generation of new offerings based on Data.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Experience using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Support business analysis results with data-based customer and sales insights
  • Support Data Mapping and how to create interfaces and mechanisms for the flow and access of information.
  • Enforce creation of trusted Data Sets and support enrich of semantic layer.
  • Provide the vision for the Customer Data Model deployed among the different components / Layers, applications data bases and repositories.
  • Using Defined official Data Repositories platforms, according to business requirements, BI Foundation, and industry trends to assure integrity and scalability.
  • Provide and/ or design data models, work methods, frameworks, techniques, and bring the best practices of knowledge and processes management.
  • Support harmonization and cleansing for commercial master data by establishing controls and process to monitoring and document data models in High level.
  • Work with Technical Data Architects to generate Data Models and provide accessibility to Data Sets and Data Models.
  • Lead the ownership for Customer Data Model and implements solutions, and leverage customer master data services for business needs.
  • Detect and support use cases and application with business-oriented outcomes of the data models and Data strategies.

Position Challenges

  • Rapid Adaptability
  • Be able to understand how the business report data.
  • Be capable of store and optimizing data from different sources and languages.
  • Data cleaning.  

Internal Relations

  • Product Owners
  • Development Team
  • Adoption Team
  • Regional & Local Customer Experience Office
  • Data Architecture, P&IT

External Relations

  • NA

Position Requirements:

  • A Data Engineer professional with experience as a Data Architect, Data Science or Data Engineer, with knowledge on topics like: Data Models, Data Lake, Master Data Management, Data Governance, Data Quality Strategy, Data Warehousing.
  • Language Proficiency: Advanced English & Spanish
  • Required:
    • Interpret and analyze data from multiple sources to come up with imaginative solutions to problems.
    • Experience with common data science toolkits. Experience with data visualization tools, Dashboard Storytelling. Data-oriented personality.
    • Experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations.
    • Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
    • Design data modeling processes to create algorithms and predictive models and perform custom analysis.
    • Support Extension of company’s data with third party sources of information when needed.
    • Supervise and drive Processing, cleansing, and verifying the integrity of data used for analysis.
    • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Cloud Database knowledge including Google Analytics / Countly
    • Basic knowledge of JSON & JQuery.
    • Knowledge of SAP Database Structure.
  • Years of Experience:
    • >5 years: Related to Data Topics supporting Business areas or Information Technology areas
    • >3 years: Data Architecture, Data Management & Data Modeling Domain, Data Management, Data Warehouse, Data Services, ETL, Data Bases, In Memory computing, MDM, Data Hubs, Data Lakes, Semantic layers
    • >2 years: Data Visualization Techniques. Desirable Certification.
    • >2 years: Leading projects related to Data with multi-disciplinary and multi-cultural teams.
  • Desire:
    • Knowledge of CEMEX Data Model, Digital Data Marketing.
    • Experience on Commercial Development Initiatives.
    • Certifications on Analytics, Data Management domain, Data Modeling, Data Base Domain.
    • Experience on Customer Insights/Customer Experience Data.
    • Experience on Research and Discovery activities.