Job Summary: Bradesco is seeking a Data Engineer II to develop data pipelines in Databricks, build data products, and collaborate on the evolution of cloud architecture—ensuring technical value and consistency. Key Highlights: 1. Develop end-to-end data pipelines in Databricks (Python, PySpark, SQL). 2. Build data products supporting use cases for recommendation and pricing. 3. Support the evolution of cloud architecture by migrating processes to Databricks. **About Bradesco** Bradesco is one of Brazil’s largest financial groups, with a history marked by pioneering spirit and innovation. Through our broad and diversified portfolio of financial products, banking services, and insurance offerings, we contribute to individuals’ aspirations and the sustainable growth of businesses and society. Join our financial ecosystem and impact the experience of millions of people! At Bradesco, we value diversity in all its forms. As part of our commitment to promoting greater representation in strategic positions, this is an affirmative action position exclusively for women. Learn more at https://banco.bradesco/html/classic/sobre/index.shtm **Responsibilities and Duties** What is our Data Intelligence (ID) team? Our mission is to advance the frontiers of data and AI technologies to generate sustainable and ethical value for business units. Our teams are organized across three major pillars: analytics (focused on profit pools), platform & infrastructure, and governance & quality. Together with business units, we design and implement analytical intelligence solutions that drive revenue growth, improve operational efficiency, mitigate risks, and enhance customer experience. Work model: Hybrid – 1 day onsite Unit: Curitiba – PR **What will your day-to-day look like?** As a Data Engineer II, you will work within the Data Engineering Management team, with the following key responsibilities: * Develop end-to-end data pipelines in Databricks using Python, PySpark, and SQL—ensuring efficiency, quality, and alignment with the analytical needs of the Wholesale Commercial Area. * Build data products and structured layers supporting use cases for recommendation, prospecting, pricing, and lead prioritization—ensuring technical consistency and business value. * Participate in squad rituals and dynamics, collaborating directly with the Tech Lead and developers from the Commercial Area in defining, refining, and implementing solutions. * Support the evolution of the area’s cloud architecture by contributing to the migration of currently on-premise processes to the Databricks environment—considering best practices, performance, and security. * Interact with areas such as Product, Credit, Registration, and Product Owners (POs) to understand assumptions, rules, and data flows—ensuring built structures accurately reflect business needs. * Document processes, standardize routines, and ensure governance, quality, versioning, and traceability of developed solutions according to ID standards. **Requirements and Qualifications** What do you need to have or know? * Completed undergraduate degree in Data Science, Statistics, Mathematics, Economics, Engineering, or related fields. * Intermediate-level experience with Databricks—including pipeline development, notebook usage, workflows, and data engineering best practices. * Hands-on experience with Python, PySpark, and SQL—capable of developing robust transformations, handling large-scale data, and optimizing process performance. * Knowledge of cloud environments (Azure, AWS, or GCP), including understanding of architecture, configurations, and integrations required for pipeline execution. * Knowledge and practical experience with Git and code versioning (branches, pull requests, code reviews, and integration best practices). * Ability to work autonomously, conducting analyses, development, and end-to-end deliveries. * Skill to interact with business areas and cross-functional teams—understanding assumptions and rules to translate them into data engineering solutions. It would be a plus if you have: * Knowledge of decision engines (e.g., FICO or equivalents), including concepts, rules, and functionality of decision-making platforms. * Familiarity with BI tools (Power BI, Tableau, or similar) to understand data consumption and structure analytical views. * Experience in migrating on-premise processes to cloud environments—supporting business areas in modernization and adoption of new architectures. **What We Offer** At Bradesco, we value health and well-being, offering an extensive portfolio of benefits to all our employees: * PLR or Bonus: Based on position eligibility* * Health Insurance * Dental Insurance * Life Insurance * Food Allowance * Meal Voucher * 13th Food Basket * Total Pass * Transportation Voucher (optional enrollment) * Discounts on products and services offered by partner companies * Private Pension Plan (optional enrollment, with financial contribution from Bradesco Organization) * Viva Bem Bradesco: Health, well-being, and quality-of-life program * Unibrad: Bradesco Corporate University * Fee Waiver: Special conditions on various products and services * Daycare or Nanny Assistance * Extended Paternity Leave: 20 days * Maternity Leave: 180 days, with assisted support from pregnancy through postpartum