Data Engineer Senior

Location: Buenos Aires, Argentina; hybrid work with office attendance an average of four days per week

Company

hirify.global is a global creative company within WPP that develops connected brand, customer experience, commerce, media intelligence, data, and enterprise solutions across more than 55 markets.

What you will do

• Design, develop, and optimize scalable enterprise data solutions, architectures, warehouses, lakes, dimensional models, and semantic layers.
• Build and maintain end-to-end ingestion, transformation, processing, integration, and orchestration pipelines.
• Implement Microsoft Fabric solutions using Lakehouses, Warehouses, OneLake, Dataflows Gen2, Pipelines, and Notebooks.
• Integrate CRM, marketing automation, Adobe Analytics, operational, and API data sources; automate transformations and validation with Python, PowerShell, or similar tools.
• Ensure data quality, governance, security, compliance, accuracy, traceability, and adherence to enterprise standards.
• Lead complex data initiatives, translate requirements with business and technical stakeholders, establish engineering practices, and mentor junior and mid-level team members.

Requirements

• 5+ years of experience in Data Engineering, Data Analytics, Business Intelligence, Enterprise Analytics, or related roles.
• Strong hands-on experience with Microsoft Fabric, Azure, SQL Server, Power BI, and enterprise data platforms.
• Advanced SQL skills, including query optimization, performance tuning, stored procedures, and indexing strategies.
• Strong experience with ETL/ELT processes, data pipelines, workflow orchestration, and enterprise data integrations.
• Experience designing and optimizing Data Warehouses, Data Lakes, dimensional models, and scalable data architectures.
• Experience with Python, PowerShell, or similar scripting technologies.
• Knowledge of data governance, security, compliance, and data quality principles.
• Experience working in global, cross-functional enterprise environments and leading complex technical initiatives with senior stakeholders.
• Strong communication, problem-solving, and stakeholder management skills; advanced written and spoken English required.

Nice to have

• Knowledge of Microsoft Entra ID, RBAC, managed identities, data classification, DLP, and enterprise data security.
• Exposure to AI, Copilot, agentic AI, intelligent automation, predictive analytics, or machine learning.

Culture & Benefits

• Hybrid work model focused on creativity, collaboration, and connection, with teams in the office an average of four days per week.
• Accommodations or flexibility can be discussed with the hiring team during the interview process.
• Equal opportunity workplace committed to respect, inclusion, and equal career opportunities.