Join CI&T to help turn the potential of AI into meaningful business impact. With 30 years of experience in technology transformation, our teams work across more than 25 countries to build solutions that help organizations innovate and evolve.

You’ll work on a two-year project for a global pharmaceutical company, planned to start in November 2026. The goal is to develop a personalized, real-time learning and engagement platform for healthcare professionals. As a Data Engineer, you’ll build and operate reliable data pipelines connecting CRM, Data Lake, and Adobe Experience Platform, with data quality, privacy, and engagement measurement at the center of your work.

Responsibilities

• Design and implement batch and streaming pipelines between CRM, Data Lake, and Adobe Experience Platform, including profile, segment, and event data
• Model analytical tables in Databricks and calculate engagement and business indicators
• Create automated data quality checks, monitoring, alerts, reconciliations, and identity deduplication processes
• Apply LGPD principles through data classification, minimization, pseudonymization, retention, deletion, audit trails, and support for data subject requests
• Support XDM modeling and identity strategy from the source data perspective
• Document pipelines, data dictionaries, and lineage, and maintain operational runbooks
• Operate production pipelines and investigate data incidents

Mandatory requirements

• Solid data engineering experience, including production pipelines
• Advanced SQL and Python skills, and advanced Databricks experience with Spark, Delta Lake, jobs, and workflows
• Experience integrating CRM and Data Lake through APIs, connectors, and files; Veeva experience is strongly preferred
• Experience with automated data quality testing, monitoring, and reconciliation
• Experience defining, versioning, and reconciling metrics with analytics tools
• Practical knowledge of applying LGPD to personal data, including minimization, pseudonymization, retention, and data subject rights
• Native Portuguese and advanced English for technical documentation

Differentials

• Adobe Experience Platform experience with ingestion through source connectors or batch and streaming APIs, and data export through destinations, Data Landing Zone, or Query Service
• Databricks or Adobe certifications
• Experience in the pharmaceutical or healthcare sector
• Experience with orchestration tools such as Airflow or Databricks Workflows, and infrastructure as code
• Data modeling experience for personalization or recommendation

What we’re looking for
You build dependable data solutions and care about the quality, consistency, and responsible use of the information they rely on. You’ll bring a thoughtful, practical approach to operating pipelines in production and collaborating on data models, metrics, and privacy safeguards.