**About Bradesco** Bradesco is one of Brazil’s largest financial groups, with a history marked by pioneering spirit and innovation. Through our broadly diversified portfolio of financial products, banking services, and insurance offerings, we contribute to people’s aspirations and to 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. Therefore, our job openings are open to all individuals, regardless of gender, race, sexual orientation, disability, age, or any other characteristic. Learn more at https://banco.bradesco/html/classic/sobre/index.shtm **Responsibilities and Duties** What is our Data Intelligence (ID) team? Our purpose is to advance the frontiers of data and AI technologies to generate sustainable and ethical value for business units. Our teams are organized into 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 Location: Osasco – SP or Curitiba – PR **What will your day-to-day look like?** As a Data Engineer II, you will work within the Data Platform Management area, and your main responsibilities will include: * Developing robust data ingestion pipelines from multiple sources (mainframe, APIs, internal systems, logs), ensuring scalability and performance within the Databricks environment. * Implementing data processing and quality strategies during ingestion, accounting for diverse formats and volumes. * Conducting advanced testing to validate pipeline integrity, consistency, and efficiency, anticipating potential failures in complex environments. * Managing production deployments, ensuring continuous integration and minimal downtime, with special attention to the bank’s critical environments. * Monitoring and updating technical and operational KPIs, proposing improvements based on metrics and analysis (preferably using tools such as Power BI). * Proactively resolving incidents and bottlenecks related to data ingestion, engaging multiple stakeholders and legacy systems. * Participating in agile ceremonies, contributing technical insights and strategic alignment to evolve the squad from operational to tactical maturity. * Collaborating with internal specialists to incorporate emerging technologies and best practices, staying up to date with the broad technological landscape of the area. **Requirements and Qualifications** What do you need to have or know? * Completed undergraduate degree in Data Science, Statistics, Mathematics, Economics, Engineering, or related fields. * Proficiency in Analytics, Python, SQL, and Spark. * Solid hands-on experience with Databricks (our primary analytics environment). * Knowledge of continuous integration and automated deployment practices (CI/CD). * Ability to implement automated testing in data pipelines. It would be a plus if you have: * Desired certifications: Azure AZ-900, DP-900, and DP-203. * Practical knowledge of API consumption, microservices, backend, and frontend development. * Familiarity with Power BI (a strong differentiator for indicator generation). **What We Offer** At Bradesco, we value health and wellbeing, offering an extensive portfolio of benefits to all our employees: * Profit Sharing (PLR) or Bonus: Subject to position eligibility* * Health Insurance * Dental Insurance * Life Insurance * Food Allowance * Meal Voucher * 13th Food Basket * Total Pass * Commuter Benefit (optional enrollment) * Discounts on products and services offered by partner companies * Private Pension Plan (optional enrollment, with financial contribution from Bradesco Organization) * Bradesco Well-Being Program: health, wellbeing, and quality-of-life initiative * Unibrad: Bradesco Corporate University * Fee Waivers: special conditions across various products and services * Daycare or Nanny Assistance * Extended Paternity Leave of 20 days * Maternity Leave of 180 days, including assisted prenatal and postpartum care