Business Intelligence Developer

City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number : 47767 Business Intelligence Developer Bunge has an exciting opportunity available for Business Intelligence Developer. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work. Most importantly, in all we do we live our values: • Act as One Team by fostering inclusion, collaboration, and respect • Drive for Excellence by being agile, innovative and efficient • Do What's Right by acting safely, ethically, and sustainably Overview: This position will work to create end to end solutions, helping clients organize, structure and visualize their data in a way that delivers value and actionable insights. Key responsibilities will include: Create, prepare, and maintain databases and tables to power reports, dashboards, predictive models, and downstream analysis. Continuously develop and maintain an understanding of Business Intelligence technology and architecture, including data warehousing, ETL/ELT process, reporting tools and other methods of information delivery. Essential Functions : Main Accountabilities : Create and maintain customized SQL queries to build reporting data structures. Build and maintain database models, including fine tuning and optimizing queries, data pipelines, and automation workflows. Validate data to determine and document any gaps between available data and requirements for reporting outputs, dashboards, modeling use cases, and downstream analysis. Operating within engineering best practices and following change release processes leveraging tools such as GitHub Contribute to project teams that are developing or modifying highly complex information solutions. Has in-depth knowledge in own discipline and basic knowledge of related disciplines. Adapts plans for specific short-term projects within the department and recommends solutions/best practices. Key Performance Indicators (KPIs) : Participates in small to medium (5+ people) projects of moderate complexity; Contributes to process improvements. Responsible for the execution of main activities or staff to obtain important results Performs a variety of complex tasks; Uses best practices and knowledge of internal or external business issues to improve processes. Complex problems will require analysis to understand. Solves difficult, non-routine problems Successful candidates will take a new perspective on existing solutions Works independently with general supervision, receiving daily guidance and direction from the team and product leader Interact with Projects Managers, Business Analysts, Architects, Developers, and stakeholders to acquire and precise requirements. Knowledge and Technical Competencies : Must have solid understanding of Agile methodologies & collaborate within an Scrum / Agile team Working with a leading analytics or relational database system, such as Oracle, BigQuery, PostgreSQL, Microsoft SQL Server, or MySQL Experience in scripting for automation (e.g. Python) and advanced PL-SQL programming. Possess strong technical skills in database management systems and BI technologies such as Tableau, Looker, and PowerBI. Developing and implementing data transformation via ETL processes and data pipelines, including experience in ETL software such as AecorSoft. Working within GCP, AWS, Snowflake, or Azure cloud-based data solutions Minimum Requirements: Education/Experience : Bachelor's degree with 3 - 5 years of position related experience, or equivalent combo of education and experience level. 3+ years of strong experience with Oracle SQL and PL-SQL programming Proficiency in English Please include a CV in English #LI-AK2 At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~34,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com. Every day our people exemplify these values, which represent Bunge at its core: • We Are One Team – Collaborative, Respectful, Inclusive • We Lead The Way – Agile, Empowered, Innovative • We Do What’s Right – Safety, Sustainability, With Integrity If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge Job Segment: Business Intelligence, Cloud, Testing, Developer, Data Warehouse, Technology