We are specialists in **technological transformation**, combining human expertise with AI to create scalable tech solutions. With more than 8,000 CI&Ters worldwide, we have already formed partnerships with over 1,000 clients throughout our 30-year history. Artificial Intelligence is our reality. **Important**: If you reside in the Campinas Metropolitan Region, your presence at the city offices will be mandatory, in accordance with the current attendance policy. **Responsibilities:*** Design, develop, and maintain data pipelines (batch and streaming) for data ingestion, transformation, and delivery for analytics and application consumption. * Build and evolve analytical modeling (bronze/silver/gold layers, data marts, star schema, wide tables), ensuring consistency, documentation, and reusability. * Implement data quality best practices (tests, validations, contracts, SLAs/SLOs, monitoring of freshness/completeness/accuracy) and act on incident resolution with RCA. * Define and maintain technical data governance: catalog, lineage, versioning, naming conventions, ownership, access policies, and audit trails. * Optimize query and pipeline performance and cost (partitioning, clustering, incremental loads, materializations, job tuning). * Support the full delivery lifecycle (discovery, development, validation, operations), aligning business requirements with technical needs and ensuring predictability. * Collaborate with BI/Analytics teams to define metrics, dimensions, facts, and semantic layer, ensuring indicator traceability. * Enable and operationalize AI/ML use cases. * Integrate sources and systems (APIs, databases, queues, events, files), ensuring security, idempotency, fault tolerance, and end-to-end traceability. * Produce and maintain relevant technical and functional documentation for auditing, support, and knowledge transfer. **Requirements:*** Proven experience as a Data Engineer focused on Analytics (pipeline construction, modeling, and delivery for consumption). * Proficiency in SQL and solid foundation in Python (or equivalent language) for data engineering and automation. * Experience with orchestration and workflow design (e.g., Airflow, Dagster, Prefect, or similar). * Experience with data warehouses/lakehouses and analytical formats/architectures (e.g., BigQuery/Snowflake/Databricks/Spark; Parquet/Delta/Iceberg). * Hands-on experience with ETL/ELT, incremental loads (CDC when applicable), partitioning, and performance/cost optimization. * Knowledge of data quality and reliability best practices (data testing, observability, metrics, incident management, and RCA). * Experience with version control (Git) and delivery practices (code review, branching standards, basic CI). * Strong verbal and written communication skills for interaction with technical teams and stakeholders, with the ability to translate requirements into clear deliverables. **Nice-to-have:*** Cloud experience (preferably GCP, but AWS/Azure also valued), including IAM, basic networking, and cost management. * Experience with dbt (modeling, testing, documentation) and semantic layer/metrics layer best practices. * Experience with streaming (Kafka/PubSub/Kinesis), incremental processing, and event-driven architectures. * Familiarity with Data Governance and catalog/lineage tools (e.g., Data Catalog, Collibra, Amundsen, OpenLineage/Marquez). * Experience with MLOps/LLMOps (monitoring, evaluation, drift, data/model versioning, training and deployment pipelines). * Experience with RAG and embeddings, indexing pipeline construction, and GenAI security practices (PII redaction, prompt injection awareness, access controls). * Experience with query and pipeline performance testing and cost optimization strategies. * Experience in agile environments (Scrum/Kanban) and close collaboration with Product Owner/PM for value- and risk-based prioritization. * Use of supporting tools (including AI) to accelerate documentation, summarization of pipelines/SQL, test case generation, and analytical support — with human technical validation. #LI-RR2 Midsenior **Our benefits:*** Health and dental insurance; * Meal and food allowance; * Childcare assistance; * Extended parental leave; * Partnerships with gyms and health & wellness professionals via Wellhub (Gympass, TotalPass); * Profit and Results Sharing Program (PLR); * Life insurance; * Continuous learning platform (CI&T University); * Discount club; * Free online platform dedicated to promoting physical, mental health and 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/en-us/careers At CI&T, inclusion starts from the first contact. If you are a person with disability, it is important to **submit your medical report during the selection process.** *Check which information must be included in the report* *by clicking here.* This way, we can ensure the support and accommodations you deserve. **If you do not yet have the qualifying medical report, don’t worry: we can support you in obtaining it.** We have a dedicated Health and Wellness team, inclusion specialists, and affinity groups that will accompany you at every stage. Count on us to walk this journey side by side.