Summary: Seeking a Software Engineer to optimize process mining initiatives, develop data pipelines, integrate business context, and enhance automation with AI-driven techniques. Highlights: 1. Execute process mining initiatives to optimize data pipelines and execution apps 2. Implement structured knowledge layers for seamless business context integration 3. Support AI-driven techniques to enhance automation and decision-making **Software Engineer** Process Mining Data Engineering Consultant **Key Responsibilities:** * Execute process mining initiatives by monitor, support, developing, maintaining, and optimizing data pipelines, models, dashboards, and execution apps * Implement structured knowledge layers, ensuring seamless integration of business context into process insights. * Translate business requirements into detailed technical implementations aligned with global best practices. * Develop and maintain high\-quality data extraction, transformation, and integration pipelines, ensuring accuracy, consistency, and reliability. * Troubleshoot, optimize, and maintain process mining solutions, ensuring efficient execution and timely delivery of insights. * Support the implementation of AI\-driven techniques (e.g., predictive analytics, NLP, machine learning) to enhance automation and decision\-making in process mining. * Adhere to DSO ways of working and agile development methodologies, participating in sprints, backlog refinement, and collaborative development efforts. * Ensure compliance with global data governance and security standards while integrating enterprise applications and external data sources into process mining solutions. * Support knowledge transfer initiatives by maintaining documentation, training materials, and best practices repositories. **Education \& Experience:** * Bachelor’s or Master’s degree in **Computer Science, Information Systems, Business Administration, Mathematics**, or a related field. * **5\+ years** of experience in process improvement, technology consulting, or software implementation, with a strong focus on **data engineering, process mining, and automation**. * Hands\-on experience in different business domain (e.g., Finance, Procurement, Supply Chain, HR, or Customer Service) with an understanding of **process workflows, KPIs, and optimization opportunities** **Technical Skills:** * **Process Mining Expertise:** Hands\-on experience with **leading process mining platforms** (e.g., Celonis, Signavio, Power Automate), with a focus on implementing dashboards, execution apps, and automation workflows. * **Data Engineering \& Integration**: Familiarity with data integration techniques and tools, including ETL (Extract, Transform, Load) processes and data warehousing concepts. * **Enterprise Applications \& Data Structures:** Familiarity with business applications such as **SAP (S/4HANA, ECC), Ariba, ServiceNow, Salesforce**, including data structures, tables, and integration points. * **Cloud \& Big Data Processing:** Experience with **cloud platforms** (e.g., AWS, Google Cloud, Azure, Salesforce Data Cloud) and **Databricks** for large\-scale data processing and analytics. * **Knowledge Layers \& Graphs:** Exposure to **Knowledge Layers/Knowledge Graphs** and tools like **Neo4j, Amazon Neptune, Stardog** for structured business context integration. * **AI\-Driven Techniques:** Experience supporting AI\-powered process mining solutions, including **predictive analytics, NLP, and machine learning**. * **Data Analytics Skills**: Strong capabilities in data analytics, including experience with SQL, Python, or R for data manipulation and analysis. * **BI \& Visualization:** Proficiency in **Power BI, Tableau**, or similar tools for effective data visualization and reporting. * **Version Control \& Collaboration:** Experience using **GitHub** for version control, collaboration, and CI/CD processes. * **Automation Technologies**: Knowledge of automation tools and technologies, such as Robotic Process Automation (RPA), and experience in identifying automation opportunities. **Application Period:** 06/03/2026 \- 23/03/2026 **Reference Code:** 862191 **Division:** Enabling Functions **Location:** Spain : Cataluña : Barcelona **Functional Area:** Information Technology **Position Grade:** VS 1\.1 **Employment Type:** Regular **Work Time:** Permanent **Contact Us** **Address** **Telephone** **E\-Mail** Av. Baix Llobregat, 3, 08970 Sant Joan Despí, Barcelona, Espanya \+34 93 495 69 99 talentacquisition@bayer.com