OverviewRole: Data Engineer - PySpark / Power BIEmployer: The Adecco GroupLocation: Mexico (Home Office 100%)Workday: Monday - FridaySalary: Gross Salary Open & NegotiableEducation: Bachelor's Degree in Information Technologies or related engineeringLanguages: High level of proficiency in English (speaking, reading, writing) – Level: B2, C1, C2, FluentBenefits: Social Insurance (IMSS), 12 Vacation Days per Year, 15 Days of Christmas Bonus, 25% Vacation Bonus, Life Insurance, Online Technical Trainings and Access to Academies and Certifications, Job Stability and Professional DevelopmentPlus Benefits: Job stability and professional developmentNote: All benefits are subject to company policy and local regulations.
ResponsibilitiesExperience building out an Enterprise Data Platform, driving enterprise data services across the organization.Hands-on Data Engineer/Architect with extensive skills across Data Engineering, PySpark, Power BI, and related technologies.Expertise across Data Governance, classification,



design/approach level skills with practical execution to reach the run phase.Act as an Azure data architect, driving integration, modeling, storage, and analytics.Drive data catalogues, data mapping, and health checks for inbound/outbound data.Present data to business/IT stakeholders using Synapse Analytics, Power BI, and other analytical platforms.Experience with Microsoft Fabric is a plus; familiarity with Life Sciences domain data is required.
QualificationsStrong TECH chops with experience in Synapse Analytics, Power BI, and related tools.Proven ability to build and run an Enterprise Data Platform and data services.Experience in Data Governance, data classification, and data cataloging.Excellent communication and focus on results; team collaboration skills.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesTechnology, Information and Media, Software Development, IT System Custom Software Development
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📌 Data Engineer Pyspark Power Bi (México)
🏢 The Adecco Group
📍 México