
Artificial Intelligence ⢠Cloud Services ⢠SaaS
CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.
5001 - 10000 employees
Founded 1995
đ¤ Artificial Intelligence
âď¸ SaaS
đ° $5.5M Venture Round on 2014-04
October 28
đŁď¸đ§đˇđľđš Portuguese Required

Artificial Intelligence ⢠Cloud Services ⢠SaaS
CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.
5001 - 10000 employees
Founded 1995
đ¤ Artificial Intelligence
âď¸ SaaS
đ° $5.5M Venture Round on 2014-04
⢠Lead and develop the team, promoting engineering best practices and a Data as a Product culture (domain ownership, SLOs/SLIs). ⢠Design and implement complex data pipelines (batch and streaming), with automation, orchestration and ETL/ELT optimization. ⢠Develop transformations in Python/PySpark and SQL, with automated tests (PyTest) and engineering standards. ⢠Ensure end-to-end Data Quality: tests as code, dataset SLOs/SLIs, proactive alerting and automated remediation. ⢠Design the platform blueprint: metadata-first approach, lineage, Policy-as-Code, data catalog/discovery, semantic layer, and observability. ⢠Incorporate GenAI into the workflow: copilots for catalog and documentation, Sensitive Data Classification (PII), assisted generation of policies and tests, and Change Intelligence (impact summaries). ⢠Collaborate with multidisciplinary teams (data, product, security, compliance, business), translating business requirements into scalable, measurable technical solutions. ⢠Lead architecture decisions (Lakehouse, Delta/Parquet, real-time with Pub/Sub/Kafka, microservices) with a focus on scalability, cost and security. ⢠Operate always-on compliance mechanisms (LGPD/PII): classification, masking, contextual access control and end-to-end traceability. ⢠Integrate the platform with the corporate ecosystem (APIs, events, legacy systems/SaaS), ensuring performance and reliability. ⢠Implement versioning, CI/CD and IaC (Git/Azure DevOps) for reproducibility and reduced time-to-data. ⢠Interact with senior management, present roadmaps, risks and outcomes; define and track OKRs/metrics (adoption, lead time, incidents, residual risk). ⢠Evangelize and manage change to increase adoption and business value.
⢠Strong experience building data pipelines with Python, PyTest, PySpark and SQL. ⢠Strong experience with Google Cloud Platform (BigQuery, Dataproc, Dataflow, Pub/Sub, Composer/Airflow, IAM). ⢠Strong experience with orchestration tools (Airflow/Composer, Dagster, Prefect). ⢠Experience with Databricks in complex pipelines (Delta Lake, Jobs/Workflows, Unity Catalog). ⢠Experience with relational and non-relational databases, including schema design and query optimization. ⢠Experience in microservices architecture and enterprise integrations (REST/GraphQL, event-driven). ⢠Proficiency with Git/Azure DevOps for versioning, CI/CD and collaboration. ⢠Hands-on experience in operational Data Governance: metadata, lineage, data catalog/discovery, data quality, security & access. ⢠Experience leading technical teams and engaging with executives, with strong communication and influencing skills. ⢠Solid understanding of security, privacy and compliance (LGPD) as applied to data. ⢠Ability to make architecture decisions focused on cost/efficiency (FinOps), scalability and reliability.
⢠Health and dental insurance; ⢠Meal and grocery allowances (food and meal vouchers); ⢠Childcare assistance; ⢠Extended parental leave; ⢠Partnership with gyms and health & wellness professionals via Wellhub (Gympass) and TotalPass; ⢠Profit Sharing (PLR); ⢠Life insurance; ⢠Continuous learning platform (CI&T University); ⢠Discount club; ⢠Online platform dedicated to physical and mental health and wellbeing; ⢠Expectant parent and responsible parenting course; ⢠Partnerships with online course platforms; ⢠Language learning platform; ⢠And many others
Apply NowOctober 28
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â° Full Time
đĄ Mid-level
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đ¤ Artificial Intelligence
đŁď¸đ§đˇđľđš Portuguese Required
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đ¤ Artificial Intelligence