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Wildlife Studios · São Paulo, Brazil
We are looking for a talented Associate Data Engineer to join Wildlife’s Operations team in São Paulo, Brazil. Sitting at the intersection of business strategy, technology, and execution, our Operations organization spans Finance, Corporate Development, People, and Legal. We're on a mission to transform these functions into an AI-native operation, fundamentally rethinking how work gets done. This is where you come in. You will play a critical role in driving this transformation, sitting at the center of the AI revolution within our business. You will design, build, and maintain the data pipelines, AI-powered workflows, and automation systems that replace manual processes, unlock new capabilities, and enable our teams to operate at a whole new level of scale and efficiency. What you'll do Build & Maintain Pipelines: Design, develop, and optimize data pipelines and integration scripts using Databricks, SQL, Python, and Git to automate workflows across the entire Operations team. Leverage AI-Powered Development Tools: Use AI coding assistants and agentic development tools to accelerate implementation, troubleshoot complex logic, and build, test, and iterate on high-quality automation solutions efficiently. Partner with Stakeholders: Collaborate closely with non-technical business partners to understand operational pain points, translate business logic into technical requirements, and deliver automated solutions. Ensure Data & System Quality: Monitor, audit, and maintain data integrity and workflow reliability across connected operational systems. Continuous Process Improvement: Identify bottleneck routines, map existing workflows, and proactively implement automations that eliminate manual overhead. What you'll need Education / Level: Recent graduate or early-career professional in Computer Science, Data Engineering, Software Engineering, Applied Math, or related technical fields. Core Tech Stack: Strong foundational knowledge of programming logic, SQL, Python, and version control using Git. Data Platform Familiarity: Hands-on project or academic experience with Databricks or PySpark/data processing environments. AI-Assisted Workflow: Experience or high comfort using AI coding tools (e.g., Claude Code, Codex) as a primary way to write, refactor, and speed up code development. Cross-Functional Communication: Outstanding communication skills with the ability to explain complex technical solutions clearly to non-technical business teams. Language &