[Job 31300] Senior Data Developer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 15h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 18d ago
The date the source published, not the day we noticed it (2026-08-27). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 18d ago · last seen just now
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
The Senior Data Developer joins an existing team and contributes to established code repositories, with work scoped to the individual's strongest skills — whether that's database and pipeline development, application and UI development, or machine learning. Rather than owning a fixed set of responsibilities end to end, this person becomes part of a larger team accountable for the overall project, picking up the pieces of work best suited to their profile. What matters most is the ability to work confidently inside an existing codebase, follow solid Git practices, and communicate clearly and consistently with the rest of the team.
Responsibilities:
- Contributes to existing code repositories by extending and maintaining code according to established patterns and conventions.
- Follows Git best practices, including branching, commit hygiene, code review, and merge processes.
- Communicates progress, blockers, and technical decisions clearly and consistently with the broader team.
- Collaborates within a larger cross-functional team accountable for the overall success of each project.
Data Pipelines & Integration
- Builds data pipelines that feed downstream applications, including AI agents that manage purchase orders, by integrating and transforming data from sources such as Google BigQuery and SAP.
- Develops and maintains ETL/ELT (Extract, Transform, Load / Extract, Load, Transform) processes to ensure reliable, accurate data flow between systems.
- Designs and maintains database structures that support operational and analytical workloads.
Application & UI Development
- Builds and extends front-end interfaces for internal applications, including a SaaS replacement for forecasting and inventory management.
- Develops backend features and administrative functionality that support day-to-day application operations.
- Builds and maintains scheduled jobs (cron jobs) that automate recurring application or data processes.
Machine Learning
- Supports the development of machine learning models for use cases such as computer vision and forecasting.
- Assists in preparing data and features required to train and evaluate models.
Requirements:
- Demonstrated experience contributing to and extending existing code repositories in a team environment
- Strong working knowledge of Git and collaborative version control practices
- Clear, consistent communication skills, comfortable working closely with a distributed team
- Depth in at least one of the following areas, with working familiarity in others: database development and SQL, front-end/application development, ETL and data pipeline development, or machine learning
- Comfort working across a range of tasks as scoped by the team, rather than a single fixed role
- Experience with Google BigQuery, SAP, or similar enterprise data platforms is a plus where relevant to assigned tasks
Nice to Have:
- Experience with SAP integrations
- Experience building or maintaining SaaS-style applications (forecasting, inventory management, or similar)
- Experience with machine learning for computer vision or time-series forecasting
- Experience with scheduled/automated jobs (cron) and lightweight administrative tooling
- Experience in supply chain, manufacturing, logistics, or procurement contexts