
Transforming businesses through technology and innovation
CI&T is a global digital transformation company headquartered in New York, specializing in software engineering and IT services. With over 5,000 employees, CI&T partners with major brands like Coca-Cola, Johnson & Johnson, and Nestlé to deliver tailored solutions in areas such as AI/ML, cloud comput...
CI&T offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a learning...
CI&T fosters a culture of innovation and collaboration, emphasizing agile methodologies and a customer-centric approach. The company values diversity ...

CI&T • Brazil
CI&T is seeking a Senior Data Engineer to ensure data integrity and governance across complex data ecosystems. You'll work with advanced data modeling and integration techniques, focusing on both on-premise and cloud environments. This role requires expertise in data governance and experience with AI projects.
You have over 5 years of experience as a Data Engineer, specializing in data modeling and governance. Your expertise includes analyzing and redesigning conceptual, logical, and physical data models to enhance efficiency and integrity across data ecosystems. You are skilled in identifying redundancies and inconsistencies in large datasets, ensuring that data remains accurate and reliable. You understand the importance of establishing a single source of truth and have a strong grasp of data normalization and denormalization techniques to optimize performance without sacrificing data quality.
You are familiar with data governance best practices, including standardization and referential integrity, and have experience documenting data models, dictionaries, and usage policies. Your technical background includes working with both on-premise and cloud environments, and you are comfortable integrating with Master Data Management systems. You have a keen interest in AI and automation, and you are eager to apply your knowledge to enhance data pipelines and workflows.
Experience with Databricks MLflow for model management is a plus, as is familiarity with data-oriented architectures and best practices in data governance. You have participated in MDM initiatives and have a solid understanding of Data Lake and Data Warehouse environments.
In this role, you will be responsible for ensuring the integrity, consistency, and efficiency of data models across the organization. You will analyze and redesign data models to simplify and enhance their effectiveness, working closely with various stakeholders to identify and eliminate redundancies in large datasets. Your work will involve applying normalization and denormalization techniques to optimize data structures and improve query performance.
You will define criteria for establishing a single source of truth, ensuring that all data is accurate and reliable. Additionally, you will document data models, create dictionaries, and develop diagrams to communicate data structures and policies effectively. You will also plan migration strategies for data systems and integrate with Master Data Management solutions to manage the data lifecycle.
At CI&T, you will join a team of over 8,000 professionals dedicated to technological transformation. We offer a collaborative work environment where your contributions will directly impact our clients and their success. You will have the opportunity to work on innovative projects that leverage AI and advanced data solutions, enhancing your skills and career growth. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.
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