Senior Data Engineer

About L’Oréal Beauty Tech

Role Overview

Core Responsibilities

• Design and implement large-scale, end-to-end data architectures on GCP.
• Design and maintain integrations with Meta Marketing API, Google Ads API, DV360, and Amazon Ads API.
• Lead technical teams through delegation, code review, feedback, mentoring, onboarding, and training.
• Translate marketing requirements into technical API implementations and data mappings aligned with advertising KPIs.
• Translate business needs into technical specifications, estimate effort, and participate in agile ceremonies.
• Identify risks related to API rate limits and data privacy and proactively alert the team.
• Promote software craftsmanship, manage technical debt, and support technical product vision and backlog prioritization.
• Manage the full application lifecycle and foster team collaboration, analytical thinking, and problem-solving.

Technical Expertise

• Advanced programming with REST APIs, SQL, and NoSQL databases is required; JavaScript is required and React is nice to have.
• DevOps responsibilities include Git, CI/CD principles, automated testing, infrastructure as code such as Terraform, and monitoring or logging tools.
• Privacy engineering topics include ITP, ATT, GDPR, and Consent Mode and are nice to have.
• Advanced data modeling, including slowly changing dimensions and data vault modeling, is nice to have.
• Experience building GenAI-ready data architectures is nice to have.

Experience and Qualifications

• 7+ years of full-stack development experience with significant high-volume data ingestion through third-party APIs.
• At least 2 years as a senior developer, mentoring engineers, or making architectural decisions.
• A portfolio should demonstrate complex, scalable, reliable data solutions involving marketing or AdTech stacks.
• Candidates should have a proven track record supporting and implementing technical product visions.
• Experience deploying and maintaining web applications and data pipelines in production at scale is required.
• GCP, ITIL, Security, DevOps, and Terraform certifications are nice to have.

Workplace Model

• The workplace uses a hybrid model with 3 days in the office and 2 days working from home.

Employee Experience

• The role offers access to cutting-edge technology, learning opportunities, global exposure, and future-ready career development.
• The source describes parental policies, health benefits, mental wellness support, recognition opportunities, and long-term incentives.

Recruitment Process

• The recruitment process includes interviews with HR, the technical team, and the hiring manager.