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Job Summary: We are seeking a Data Engineering and Data Science Coordinator to build out our Data and AI function, guiding the design of data pipelines and analytical products with hands-on execution and impact-focused delivery. Key Highlights: 1. Lead the design and evolution of data- and AI-driven products. 2. Hands-on involvement in structuring the data platform and pipelines. 3. Lead and develop data, BI, and AI teams. We are looking for a **Data Engineering and Data Science Coordinator** to build out our Data and AI function, guiding the design of data pipelines and analytical products. With strong hands-on execution, this role will disseminate best practices and governance, working closely with business units to prioritize and deliver high-impact solutions. **Responsibilities and Duties** * Orchestrate the end-to-end data lifecycle—from ingestion at source systems through to availability for analytical consumption and AI applications; * Lead the design, development, and continuous evolution of data- and AI-driven products; * Establish and promote a data-driven culture, ensuring best practices in security, governance, and data modeling; * Define, maintain, and execute the strategic roadmap for the Data and AI function, managing technical and business dependencies; * Prioritize initiatives based on business value, risk, effort, and strategic impact; * Engage hands-on during early phases—providing technical support for platform and pipeline structuring. During these phases, the expectation is 80% “hands-on” work and 20% team building and organization; * Plan, hire, develop, and lead teams of data scientists, data engineers, data analysts, and BI analysts; * Set goals, performance metrics, and technical upskilling routines for the team; * Collaborate closely with Product, Engineering, Commercial, and Business teams to transform requirements into tailored analytical, predictive, and AI solutions; * Monitor market trends and continuously evolve architecture, tools, and methodologies; * Ensure technical quality, governance, and on-time delivery. **Requirements and Qualifications** * Bachelor’s degree in Data Science, Data Engineering, Machine Learning, Statistics, or related field; * Solid expertise in data architecture, including patterns such as Data Lake, Data Warehouse, Data Mesh, Data Fabric, and ETL; * Advanced proficiency in SQL, with extensive experience in relational databases (SQL Server experience is a strong plus); * Experience handling large-scale datasets and applying statistical analysis to business problems; * Ability to translate technical outcomes into strategic insights understandable by diverse audiences; * Leadership profile focused on results, autonomy, and continuous team development; * Experience managing large-scale data and performing statistical analysis; * Skill in clearly and effectively communicating complex results; * Ability to collaborate effectively with customers and teammates; * Innovative mindset and passion for solving complex problems using AI; * Experience with Generative AI tools; * Willingness to work onsite in Batel, Curitiba-PR. **PREFERRED QUALIFICATIONS** * Experience building Data functions from scratch; * Practical experience developing, training, and deploying Machine Learning and Deep Learning models; * Proficiency in programming languages such as Python and AI tools like TensorFlow and PyTorch. * Experience with MLOps, model lifecycle automation, and production model monitoring. * Experience designing data models for digital products. **Additional Information** **CLT** * Meal allowance of R$880.00 (R$176 deducted from payroll); * Transportation allowance (no payroll deduction); * Unimed health plan; * DentalUni dental plan; * GymPass; * TotalPass; * Clube Gazeta do Povo; * Life insurance; * Education assistance; * Excellent work environment, dining area, decompression room with games, library, table tennis, billiards, abundant coffee, and delicious treats every Monday. At Agrotis, we love challenges because they constantly improve our knowledge and ways of working. We strongly believe in agile methodologies—but remain flexible enough to adapt them when needs demand. We firmly believe that diversity of experience, perspectives, and motivation leads to a better workplace for our employees—and consequently, better products for our users and customers. Above all, we value an authentic team. We cherish relationships and proudly foster a pleasant workplace enriched with fun—whether through competitive FIFA matches, table tennis, or billiards. Oh—and yes, we also enjoy beer and plenty of coffee! We deeply value innovation, so we invite and encourage everyone to join our mission of driving digital transformation across agribusiness. Are you passionate about technology and agribusiness too? Then **\#JoinAgrotis**
