Data & Applications Engineer, Environment, Social, and Governance

Job Location WARSAW PLANT & GO Job Description Are you passionate about using data and technology to drive meaningful business impact? We are seeking an Data & Applications Engineer to support and enhance critical Environmental, Social, and Governance (ESG) reporting and application capabilities across the organization. As part of the ESG engineering team, you will help drive the transition of key technical capabilities from external vendors to an in-house engineering model, taking ownership of reporting solutions, business applications, and operational support activities. You will work across a diverse portfolio of ESG products and partner closely with product owners, business stakeholders, and technical teams to deliver reliable, scalable, and impactful solutions. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines for collecting, processing, and integrating diverse ESG datasets from various internal and external sources. Develop and deploy AI/ML models and algorithms to analyze ESG data, identify trends, predict outcomes, and generate actionable insights for reporting and decision-making. Implement and manage data governance frameworks, ensuring data quality, integrity, security, and compliance with relevant ESG standards and regulations. Collaborate with ESG domain experts, data scientists, and business stakeholders to understand data requirements and translate them into technical specifications and solutions. Build and optimize data models and schemas to support ESG reporting, analytics, and application development. Evaluate and integrate new data technologies and tools to enhance our ESG data infrastructure and capabilities. Develop and maintain documentation for data pipelines, models, and applications. Provide technical expertise and support for ESG data-driven projects and initiatives. Job Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field. Extensive experience in Data Engineering, including designing, building, and optimizing data pipelines using tools like Python and SQL. Proficiency in PowerBI, PowerApps, Azure Databricks. Demonstrated expertise in Data Management principles, including data governance, data quality, metadata management, and data warehousing concepts. Proficiency in database technologies and data modeling. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and collaboration skills, with the ability to work effectively with diverse teams. Experience with cloud platforms (Azure preferred) is highly desirable. We offer P&G-sized projects and access to world leading IT partners and technologies from Day 1. Wide range of self-development possibilities (training and certifications paths). Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards). Regular salary increases and possible promotions - in line with your results and performance. Opportunity to change role every few years to be in the best place for you and best for P&G. At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication. Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor. Job Schedule Full time Job Number R000152922 Job Segmentation Experienced Professionals