Software Engineer at Bayer AG - Venezuela

Santanyí, Balearic Islands, Spain -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Process Mining, Data Engineering, ETL, Celonis, Signavio, Power Automate, SAP, ServiceNow, Salesforce, AWS, Google Cloud, Azure, Databricks, Knowledge Graphs, Neo4j, SQL

Industry

Chemical Manufacturing

Description

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

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Responsibilities

The role involves executing process mining initiatives by monitoring, supporting, developing, and optimizing data pipelines, models, dashboards, and execution apps, while implementing structured knowledge layers to integrate business context into process insights. Responsibilities also include translating business requirements into technical implementations and supporting the integration of AI-driven techniques to enhance automation.