Data Engineer Senior

Wundermanthompson; Buenos Aires; Hybrid; ARS 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

VML is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions across enterprise platforms. You will own end-to-end pipelines, optimize data warehouses and lakes, and integrate diverse data sources including CRM, marketing automation, and analytics tools.

The role emphasizes collaboration with global teams, adherence to data governance and security standards, and mentorship for junior engineers in a hybrid office setup.

Qualifications

• 5+ years of experience in Data Engineering, Data Analytics, BI, or related roles.
• Strong hands-on experience with Microsoft Fabric, Azure, SQL Server, Power BI, and enterprise data platforms.
• Advanced SQL skills including optimization, procedures, and indexing strategies.
• Experience with ETL/ELT, data pipelines, and workflow orchestration.
• Experience designing Data Warehouses, Data Lakes, and dimensional models.
• Experience integrating multiple data sources and APIs.
• Proficiency in Python, PowerShell, or similar scripting languages.
• Knowledge of data governance, security, and data quality principles.
• Understanding of data security concepts is a plus.
• Exposure to AI, Copilot, or intelligent automation is valued.
• Experience working in global, cross-functional teams.
• Excellent communication and stakeholder management in English.

Responsibilities

• Design, develop, and optimize scalable data solutions and architectures.
• Build end-to-end data pipelines for ingestion, transformation, and integration.
• Implement solutions using Microsoft Fabric: Lakehouses, Warehouses, OneLake, Dataflows Gen2.
• Develop and optimize complex SQL queries, procedures, and database objects.
• Design and maintain Data Warehouses, Data Lakes, and semantic layers.
• Integrate data from CRM, marketing automation, Adobe Analytics, and APIs.
• Automate data transformation and validation using Python or similar tools.
• Contribute to data governance, security, and standards.
• Support AI-driven and agentic data solutions for automation and analytics.
• Lead complex data initiatives with priorities, risks, and delivery management.
• Mentor junior team members and promote engineering best practices.

Skills

Microsoft Fabric

Azure

SQL Server

Power BI

ETL/ELT

Python

Data governance

English

Tools

Notebooks

Job description

Who We Are

VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world's leading creative companies, including the WARC Creative 100. VML's global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore.

VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.

For more information, please visit www.vml.com and follow along on LinkedIn #WeAreVML.

We are looking for a Senior Data Engineer to join VML and play a key role in designing, developing, and evolving scalable enterprise data solutions.

What You’ll Do

• Design, develop, and optimize scalable enterprise data solutions and architectures.
• Build and maintain end-to-end data pipelines, including data ingestion, transformation, processing, and integration.
• Design and implement solutions using Microsoft Fabric, including Lakehouses, Warehouses, OneLake, Dataflows Gen2, Pipelines, and Notebooks.
• Develop and optimize complex SQL queries, stored procedures, tables, views, and database processes.
• Design and maintain Data Warehouses, Data Lakes, dimensional models, and semantic layers.
• Integrate data from multiple enterprise sources, including CRM systems, marketing automation platforms, Adobe Analytics, operational systems, and APIs.
• Automate data transformation and validation processes using Python, PowerShell, or similar technologies.
• Implement data quality processes to ensure accuracy, consistency, reliability, and traceability.
• Contribute to data governance, security, compliance, and enterprise data standards.
• Support the development of AI-driven and agentic solutions, enabling trusted data foundations for automation and advanced analytics.
• Drive continuous improvement through automation, scalability, and the adoption of emerging technologies.
• Lead complex data initiatives, managing priorities, dependencies, risks, and technical delivery.
• Collaborate with technical and business stakeholders to translate requirements into scalable data solutions.
• Establish and promote engineering best practices across data development, automation, and architecture.
• Mentor and provide technical guidance to junior and mid-level team members.

What We’re Looking For

• 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, and workflow orchestration.
• Experience designing and optimizing Data Warehouses, Data Lakes, dimensional models, and scalable data architectures.
• Experience integrating multiple enterprise data sources and APIs.
• Experience with Python, PowerShell, or similar scripting technologies.
• Knowledge of data governance, security, compliance, and data quality principles.
• Understanding of Microsoft Entra ID, RBAC, managed identities, data classification, DLP, and enterprise data security is a plus.
• Exposure to AI, Copilot, agentic AI, intelligent automation, predictive analytics, or machine learning is highly valued.
• Experience working in global and cross-functional enterprise environments.
• Proven ability to lead complex technical initiatives and collaborate with senior stakeholders.
• Strong communication, problem-solving, and stakeholder management skills.
• Advanced written and spoken English.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belo