[Job-32543] Senior FDE (Forward Deployed Engineer) - Databricks/Spark, Brazil

CI&T; Brazil; On-site; BRL 180,000 - 340,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellness partnerships (Gympass/Wellhub

Profit Sharing and Results Sharing

Life insurance

CI&T University learning platform

Discount club

Well-being platform

Parenting/education benefits

Online learning partnerships

Language learning platform

Job summary

CI&T is seeking a Spark FDE to build data foundations behind AI agents. You will ingest, process, and transform large data volumes from client systems, designing distributed, scalable pipelines and turning raw data into structured datasets for each business case.

You will work closely with clients and deliver production-ready pipelines powering AI agents. Ideal candidates have 7–10+ years delivering full-stack apps, strong Python and TypeScript/JavaScript skills, and experience with Spark,

Qualifications

• 7–10+ years delivering full-stack applications.
• Proficiency in Python and TypeScript/JavaScript for web apps and APIs.
• RESTful and GraphQL architectures for core product integration.
• Solid data engineering skills: pipelines, Spark, PySpark, Databricks.

Responsibilities

• Build data pipelines on Spark to transform client data into structured datasets.
• Ingest and transform large data volumes across client systems.
• Collaborate with clients to translate business needs into data flows.
• Deliver production-ready pipelines powering AI agents.

Skills

Python

TypeScript

RESTful APIs

GraphQL

SQL

NoSQL

English (professional)

Tools

Databricks

DBT

PySpark

GitHub Copilot

Claude

Azure

Job description

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.

We’re looking for a Spark FDE to build the data foundation behind our AI agents. You’ll need hands‑on experience with Apache Spark, including ingesting, processing and transforming large volumes of data from different client systems. We expect strong skills in designing distributed, scalable pipelines and in turning raw data into structured datasets for each business case. You should be comfortable working directly with clients and turning their business needs into reliable data flows. Above all, you’ll be a full‑stack engineer who understands both big data and the business, and who can deliver production‑ready pipelines that power working agents.

Requirements

7–10+ years of practical experience in delivering fullstack applications

Software Engineering Fundamentals and Integration

Build robust end-to-end solutions and connect them to existing infrastructures. Programming Languages: Deep proficiency in Python (the gold standard for AI and data) and TypeScript/JavaScript (essential for web applications and APIs). API Development and Consumption: Absolute mastery of RESTful and GraphQL architectures to integrate the core product into the client's legacy systems. Databases: Solid knowledge of both traditional relational databases (SQL) and non‑relational databases (NoSQL) to extract data from wherever it lives.

Artificial Intelligence and Data Ecosystems (The core differentiator)

AI‑assisted development: daily use of Cursor, GitHub Copilot, or Claude Code; disciplined about reviewing, testing, and refactoring agent‑generated code to team standards. LLM product basics: hands‑on with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or equivalent); practical understanding of prompting, RAG‑style Q&A, streaming UX, and common failure modes (hallucination, latency, cost).

Infrastructure, Cloud, and DevOps

Deploy code seamlessly into the client's cloud environment (Azure). Engineering standards: comfort applying tests, code review, CI/CD, and security practices during iterative delivery, not only at the end of a project. Data Science / Data Engineering: Core tools for handling pipelines and cleaning large data volumes (minimum requirements are Databrics, DBT and PySpark).

Communication

Professional English in a technical environment is mandatory (written and spoken) for specifications, reviews, risk communication, and day‑to‑day collaboration. Good communication to align task status, understanding of requirements and elevate any hurdles or blockers that impact the work to be done.

#LI-BM2

Our benefits:

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
• Profit Sharing and Results Participation (PLR);
• Life insurance
• Continuous learning platform (CI&T University);
• Discount club
• Free online platform dedicated to physical, mental, and overall well‑being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well‑being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.