Senior Data

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How You Will Contribute
You will:

• Execute the business analytics agenda in conjunction with analytics team leaders
• Work with best-in-class external partners who leverage analytics tools and processes
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What You Will Bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPI's) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER – Movimento pela Equidade Racial.

More about this role

Posição:
Senior Data & Analytics Platform Automation & Enablement Engineer

Localização:
São Paulo, SP. (Modelo híbrido)

Job Summary
We are seeking a Senior D&A Platform Automation Engineer to accelerate the Data & Analytics (D&A) platform by automating the provisioning of GCP and Databricks resources. This role ensures that analytics teams can seamlessly access scalable, secure, and cost-efficient cloud services. You will use Terraform and modern automation practices to standardize resource creation, embed governance, and simplify onboarding for D&A projects.

Responsabilidades:

• Automatizar o provisionamento da plataforma de dados e analytics (D&A) usando Terraform e práticas modernas de IaC, garantindo que times de analytics acessem recursos de forma rápida e segura.
• Implementar governança e compliance (segurança, políticas, controle de custos) padronizando fluxos de trabalho (GitOps, CI/CD, FinOps).
• Assegurar confiabilidade, escalabilidade e eficiência de custos da plataforma, alinhando-se a times de CloudOps, Segurança e FinOps.
• Fornecer padrões reutilizáveis e acelerar onboarding de projetos de analytics, compartilhando boas práticas e documentação.

Key Responsibilities

• Automate provisioning of the Data & Analytics (D&A) platform using Terraform and modern Infrastructure-as-Code practices, enabling analytics teams to access resources quickly and securely.
• Implement governance and compliance controls (security, policies, cost management) by standardizing workflows (GitOps, CI/CD, FinOps).
• Ensure platform reliability, scalability, and cost efficiency, collaborating with CloudOps, Security, and FinOps teams.
• Provide reusable patterns and accelerate analytics project onboarding through documentation, knowledge sharing, and best practices.

Requisitos:

• Inglês fluente para reporte internacional.
• Experiência com Terraform e IaC (Infrastructure as Code)
• Automação de pipelines (CI/CD) usando GitHub Actions, Spacelift ou equivalentes.
• Conhecimento em GCP (BigQuery, Dataproc, GCS, Pub/Sub, IAM).
• Automação de Databricks (clusters, jobs, usuários, permissões) via Terraform.
• Conhecimento de políticas de segurança, governança e FinOps (custos, tags, compliance).
• Trabalho colaborativo com times multifuncionais (CloudOps, Security, FinOps).
• Comunicação clara e estruturada.

Required Skills & Experience

• Fluent English.
• Experience with Terraform and IaC.
• Automation of CI/CD pipelines using GitHub Actions, Spacelift, or equivalent tools.
• Expertise in GCP services (BigQuery, Dataproc, GCS, Pub/Sub, IAM).
• Automation of Databricks resources (clusters, jobs, users, ACLs) via Terraform.
• Knowledge of governance, security, and FinOps practices (tagging, cost control, compliance).
• Collaboration with cross-functional teams (CloudOps, Security, FinOps).
• Clear, structured communication.

Education / Certifications:
Bachelor's degree in Engineering, Computer Science, Information Systems, Statistics, Mathematics, Economics or related fields.

Mondelez International is attentive to the future of work and values the wellbeing of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week.

No Relocation support available

Business Unit Summary

Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type
Regular

Analytics & Modelling

Analytics & Data Science