Staff Data Engineer

Staff Data Engineer / CS / São Paulo - SP Our mission – Health for all, Hunger for none – is at the heart of everything we do. Imagine a workplace where your voice truly matters, decisions are taken with your input, and your unique skills shape the projects you join. Leaders are mentors and coaches, walking alongside you. With innovation and planning cycles as 90 days, we’re always moving forward, together. With our new way of working, called Dynamic Shared Ownership (DSO), we’re building a more agile, less bureaucratic organization – one that’s focused on creating real value for everyone: farmers, patients, consumers, employees, investors, and society as a whole. At Bayer, Diversity and Inclusion aren’t just buzzwords – they’re core values we live by every day. We believe that when people from different backgrounds come together, amazing things happen. Diverse teams spark creativity, drive innovation, and make our workplace more welcoming for everyone. If you’re someone who wants to shape your own path, who values creativity and brings a spirit of innovation – you’ll feel right at home here. Come be part of this journey. Be yourself. We are Bayer. About Our Area Brazil is the world's largest soybean producer, the largest cotton exporter, and now a key growth driver for the digital agriculture market. Digital agriculture is redefining modern farming. Bayer is leading this transformation by integrating platforms like Climate FieldView™ into its global strategy, delivering data-driven insights that help farmers optimize inputs, solve crop challenges, and maximize productivity. The Data and Analytics team is focused on creating competitive advantage for Bayer and our customers through novel data infrastructure, metrics, insights and data services. We are a small but rapidly growing engineering team that builds and leverages state-of-the-art analytics systems. Our work informs decisions and direction for our business, while also impacting our products. Your Mission Will Be To Work with multiple cloud systems like AWS and GCP and their services; Design and implement highly scalable data‑intensive processing systems; Actively participate in the design and code review process across the team; Produce high‑quality code with an emphasis on software craftsmanship; Collaborate with product, data/business analysts, data scientists, and engineering on the next generation of the industry‑leading agriculture platform; Develop infrastructure to inform on key metrics, recommend changes and predict future results; Work with cutting‑edge open‑source platforms such as Hadoop, Yarn, Flink, Spark etc; Ensure our codebase is continuously deliverable and deployable. Qualifications Bachelor's degree in Computer Science or related technical field, or equivalent experience; Robust experience in a Software/Data Engineer role, who has attained a Graduate degree in Computer Science, or another related field; Experience with Python, Scala and/or Java; Experience in architecting, designing, developing, and implementing cloud solutions on AWS/GCP cloud platforms; Experience working with relational and NoSQL datastores; Experience designing and implementing scalable Data Lakes, lakehouse architecture and Medallion Architecture, enabling efficient data versioning, governance, and analytics across bronze, silver, and gold layers; Experience with DBT or equivalent ETL tool; Experience in Star schema and/or designing database schemas for complex and evolving data sets in data warehouse context; Experience with Big Data on GCP – BigQuery, Pub/Sub, Dataproc, Dataflow; Experience with Amazon Web Services (EC2, S3, RDS, SQS, EMR etc.) (Strong Plus); Experience in Spark (Scala/Python/Java). (Strong Plus); Experience in Delta Lake, Iceberg and/or Hudi. (Strong Plus); A successful history of manipulating, processing and extracting value from large, disconnected datasets; Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject‑matter experts; Good understanding of cloud design considerations and limitations and its impact on pricing; Experience working in both AWS and GCP cloud systems; Experience in several of the following areas: database architecture, ETL, business intelligence, big data, feature engineering, advanced analytics; Experience building scalable backend services (REST APIs, microservices, designing and implementing efficient data processing algorithms, messaging paradigms, middleware, persistent store); Experience with data pipeline and workflow management tools: Airflow, Argo, etc.; Fluency in Portuguese and English is required for working in a global team; Willingness to be based in São Paulo, with some weekly office days expected. Benefits Encouragement for a healthy lifestyle Support in identifying and monitoring physical and mental health risks Initiatives focused on health promotion, prevention, and care Real balance between personal and professional life Guidance for personal financial planning Insurance and private pension plans to help you build a secure future Full range of market‑standard benefits, including medical and dental care, life insurance, meal benefits, and Wellhub (formerly Gympass) Flexible/hybrid work model Short Fridays and extended holiday breaks Flexible vacation planning (within legal guidelines) Language courses – free access to standard courses through our partner Education First (EF) Pharmacy subsidy – 50% discount on Bayer over‑the‑counter products, and full coverage for prescription Bayer medications Conte Comigo – a support program offering psychological assistance, help with substance dependency, and legal and financial counseling Bem Nascer – a special package of exclusive benefits for new parents Childcare assistance – additional support for parents welcoming a new child Parental leave – a benefit designed to strengthen family bonds, offering equal opportunities for all parents, regardless of gender identity or family structure Private pension plan – a long-term savings plan with a 200% company match on your contributions Additional Information Período disponível para candidatura: 07/10/2025 Referência: Divisão: Crop Science Local: Brasil : São Paulo : São Paulo Área Funcional: Tecnologia da Informação Grupo de Contratação: Regular Horário de Trabalho: Standard business hours, with some on‑site days at our São Paulo office. #J-18808-Ljbffr