Associate Data Engineer
At Wildlife Studios · São Paulo, Brazil; Brazil
- Data and ML
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Where you’ll work
Hybrid, based in São Paulo
“São Paulo, Brazil”
From the location.
“Brazil”
From the job board field.
“Language & Presence: Advanced/Fluent English and ability to work hybrid from our São Paulo office (Itaim Bibi) 3 days/week.”
From the job description.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 15 hours ago
- First seen by us
- 24 October 2026
- Last checked
- 12 hours ago
Job description
From Wildlife Studios’s job post, as they wrote it.
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.
Read the full description
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 & Presence: Advanced/Fluent English and ability to work hybrid from our São Paulo office (Itaim Bibi) 3 days/week.
More about you
* You are naturally curious, proactive, and thrive on solving complex logical puzzles.
* You are comfortable taking initiative and working in a fast-paced environment with ambiguity.
* You bridges the gap easily between technical implementation and business context.
* You default to leveraging technology and AI to automate repetitive problems rather than doing them manually.
About Wildlife
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Argentina, Ireland, and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
Equal Opportunity
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
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