Lead Data Engineer

Unilever; Buenos Aires; Híbrido; ARS 15.000.000 - 20.000.000; Jornada completa

Descripción de la vacante

A leading consumer goods company is looking for a Lead Data Engineer in Buenos Aires, Argentina. In this role, you will lead the data engineering team to build robust data infrastructures and ensure high-quality data solutions. With over 6 years of experience in data engineering, you will oversee data collection pipelines and cloud infrastructure maintenance. The position offers competitive salaries, remote work flexibility, unlimited paid time off, and opportunities for publication and personal growth.

Servicios

Competitive salary

Work from home with flexible work hours

Unlimited paid time off

Publication opportunities

Science-driven culture

Contacts within the Harvard and MIT ecosystem

Yearly bonus for personal learning

Formación

• 6+ years of data engineering focused experience.
• Deep understanding of networking and data security.
• Experience leading a small engineering team.

Responsabilidades

• Build and maintain a robust and scalable data collection pipeline.
• Lead the improvement of cloud-based data infrastructure quality.
• Develop monitoring setup for continuous visibility on the data infrastructure.

Conocimientos

Data engineering

Cloud technologies (AWS, Azure, Google Cloud)

Team leadership

Networking

Data security

Time management

Educación

Bachelor's degree in Data Science, Computer Science, or similar

MS or PhD degree in Engineering, Computer Science

Descripción del empleo

About the position

This is a full time position that consists in leading our data engineering team. You will be in charge of leading our efforts in building a robust and scalable data infrastructure that meets our fast paced growth.

Responsibilities

As a Lead Data Engineer you will be responsible for:

Data Collection

• Build and maintain a robust and scalable data collection pipeline that feeds from internal tools and external partnerships.
• Implement a highly reliable annotation pipeline that complements our collection efforts and provides our Machine Learning Engineering team with high quality data to help model development and fine tuning.
• Launch gamified experiments that build up our cognitive impact annotation data.

Data Management & Maintenance

• Analyze and improve our cloud based data infrastructure quality, leading the efforts to follow best practices and provide a reliable service.
• Develop a monitoring setup to give continuous visibility on the data infrastructure's health and track the evolution of our database.

About you

You are a highly enthusiastic, results-driven and experienced data engineer. You thrive in dynamic environments and you are able to take initiative and enjoy challenges. You have practical experience leading high tech profile teams and enjoy building diverse data solutions. You constantly aim for excellence and you are motivated to scale up a marketing optimization platform to reach market leadership.

Minimum qualifications

• Bachelor's degree in Data Science, Computer Science, Software Engineering, Mathematics, similar technical field of study or equivalent practical experience.
• 6+ years of data engineering focused experience
• Experience developing data solutions with cloud technologies such as Amazon Web Services (preferably), Azure or Google Cloud Platform.
• Experience leading a small engineering team including but not limited to having sound judgment when responding to complex situations, facilitating good communication and collaboration, developing your team, and leading by example.
• Deep understanding of networking, data security and highly scalable systems design.
• Excellent time management skills, with the ability to build a clear prioritization criteria and work in a fast-paced environment.
• Provide expertise and perspective on cloud development and infrastructure initiatives, including automations and cross-sectional data workflows.

Preferred qualifications

• MS or PhD degree in Engineering, Computer Science, or other technical related field; or equivalent practical experience.
• Experience working in a growth-stage startup.
• Experience working with Agile and Scrum methodologies.
• Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical business leaders.

What we offer

• Competitive salary.
• Work from home with flexible work hours.
• Unlimited paid time off.
• Publication opportunities.
• Science-driven culture.
• Contacts within the Harvard and MIT ecosystem.
• Yearly bonus for personal learning.