Junior Data Engineer

Description

Job Summary: We are seeking a Junior Data Engineer to build and enhance Terraform modules, provision Databricks via Infrastructure as Code (IaC), and integrate analytical infrastructure with Azure DevOps, working in an inclusive and collaborative environment. Key Highlights: 1. Inclusive, collaborative, and continuously evolving environment 2. Focus on technology and innovation 3. Hybrid work models Recife Junior Data Engineer Our Opportunity: Are you passionate about technology and innovation, and do you want to be part of an inclusive, collaborative, and continuously evolving environment? Then this opportunity is for you! At Capgemini, we value the balance between personal and professional life. Therefore, we offer hybrid work models aligned with project needs. Our goal is to provide you with the best experience, respecting your lifestyle and promoting well-being. We are looking for a Junior Data Platform Engineer (Terraform + Azure Databricks) to join our team. Job Responsibilities: Build and evolve Terraform modules to standardize analytical environments. Provision and automate Databricks workspaces, clusters, jobs, secrets, policies, and networking via IaC. Collaborate with Data Engineering squads to create appropriate environments for pipelines and workloads. Integrate analytical infrastructure with Azure DevOps (CI/CD). Ensure governance: RBAC, Key Vault, tagging, corporate standards. Work in high-criticality environments requiring rapid delivery and platform compliance. Document standards, best practices, and templates for the organization. Technical Requirements: Solid enterprise-level Terraform experience. Practical experience provisioning Azure Databricks via IaC (clusters, jobs, repos, secret scopes, workspace). Proficiency in Azure (Resource Groups, Networking, Key Vault, Storage, AAD). Git (branching strategy, versioning). Experience with automation and data platform patterns. Desirable: Azure DevOps (Pipeline YAML, Repos). Knowledge of Azure data architecture (Delta Lake, Data Lake, ETL). Experience with data-oriented Landing Zones. Familiarity with analytical workloads and engineering teams. Telecom experience (Vivo) is a plus. Diversity, Inclusion, and Belonging At Capgemini, you can be your authentic self. We value diversity in all its forms and foster an inclusive environment through committees such as: * Women@Capgemini – Female empowerment and gender equity. * Capgemini Black – Representation and appreciation of Black culture. * LGBTQIA+@Capgemini, Capgemini Accessibility, among others. Our commitment is ongoing: we are recognized by GPTW, Bloomberg Gender Equality Index, EDGE, and Ethisphere as one of the world’s most ethical and inclusive companies. Our job openings are open to everyone, regardless of color, ethnicity, religion, age, gender identity, sexual orientation, or disability. Development and Benefits Here, you are the protagonist of your career! We offer: A structured career path and personalized learning tracks. Corporate University with access to Harvard, Coursera, Udemy, and Pluralsight. Official certifications with partners such as SAP, AWS, Microsoft, and Salesforce. Language courses with EF Education First (English, Spanish, French, and German). Comprehensive well-being benefits: * Medical and dental assistance. * Gympass and Equilibrium (physical and mental health). * Private pension plan and life insurance. * Family Care Program: extended maternity and paternity leave, fertility support, personalized health and well-being guidance. * Meal allowance, benefit club, and much more! Make It Real At Capgemini, we unleash human potential through technology to build a more inclusive, sustainable, and innovative future. If you share these values, come transform the world with us! Ref. code 406924-pt_BR Posted on 05 Feb 2026 Experience level Experienced professionals Contract type Permanent Location Recife Business unit ABL AMERICAS Brand Capgemini Professional communities Data & AI