AI Data Engineer, Mid-level

🕒 March 27

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

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.

📋 Description

• Design and implement GenAI-based solutions that optimize critical stages of the DDLC (Data Development Life Cycle). • Develop agents that act as assistants in creating Databricks notebooks, pipelines in ADF, and structures in Microsoft Fabric. • Create workflows that integrate LLMs into our ecosystem (SQL Server and Power BI), automating tasks such as data documentation and creation of DAX measures. • Apply advanced prompt engineering techniques to ensure the AI generates optimized, secure, and high-performance PySpark and T-SQL code. • Define quality metrics to validate AI-generated artifacts (e.g., ensure efficiency of generated queries). • Ensure solutions align with Data Governance, security, and privacy practices. • Stay up to date on AI capabilities within Microsoft Fabric and Databricks to maximize the use of native tools versus custom developments.

🎯 Requirements

• Degree in Computer Science, Data Engineering, Statistics, or a related field. • Strong experience in Data Engineering and deep understanding of CI/CD pipelines applied to data. • Hands-on experience building GenAI solutions (OpenAI API, Azure OpenAI, or open-source models) with a strong focus on prompt engineering is essential. • Experience with AI agent orchestration frameworks (e.g., LangChain, Semantic Kernel, or AutoGen) is required. • Technical mastery of the Azure Data ecosystem (Databricks, Data Factory, and Fabric) and proficiency in SQL and Python/PySpark. • Ability to translate business challenges into agents that assist in data modeling and dashboard development. • DataOps mindset: understanding that data requires testing, versioning, and monitoring. • Deep knowledge of Microsoft Fabric and its AI integration capabilities. • Experience with Unity Catalog and data governance. • Knowledge of RAG (Retrieval-Augmented Generation) to build assistants that use internal technical documentation. • Azure Data Engineer or AI Engineer certifications.

🏖️ Benefits

• Health and dental insurance • Meal and grocery allowances • Childcare assistance • Extended parental leave • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass/TotalPass) • Profit-sharing (PLR) • Life insurance • Continuous learning platform (CI&T University) • Discount club • Free online platform for physical and mental health and well-being • Prenatal and responsible parenting course • Partnerships with online course platforms • Language learning platform • And many more