Process Mining Data Engineering Consultant
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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. xohynlm
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
Av. Baix Llobregat, 3, 08970 Sant Joan Despí
Barcelona, Espanya