As a Senior Data Engineer, you will play a pivotal role in revolutionizing our clients' operations by leveraging cutting-edge process mining tools and your expertise in data engineering. Your primary responsibility will be to identify process improvement opportunities, develop end-to-end automation solutions, and drive continuous improvement projects through data-driven insights.
Key Responsibilities
Process Mining Expertise
- Utilize Celonis, UI Path, Signavio, Minit, or similar process mining tools to analyze and optimize key customer processes such as Order-to-Cash, Procure-to-Pay, and Issue-to-Resolution.
- Identify non-value-added steps, map processes, and create lean and agile process frameworks to drive efficiency.
Data Engineering and Analysis
- Work with ERP systems (Microsoft, Oracle, SAP) to extract and analyze data, leveraging SQL, Python, or other programming languages.
- Design and implement ETL processes to ensure data integrity and availability for analysis.
Business Case Development
- Collaborate with key stakeholders to identify opportunities, develop solutions, and present business cases for process improvement initiatives.
- Create end-to-end automation solution blueprints to simplify and enhance client operations.
Continuous Improvement Projects
- Lead Continuous Improvement Projects by aligning with business problem areas and implementing solutions to drive cost reduction, cycle time improvement, and productivity enhancement.
- Apply quality methodologies such as PDCA, Lean, and Six Sigma to optimize processes and realign organizational practices with business strategies.
RPA Enablement
- Collaborate with client Business Excellence and Operations teams to identify processes suitable for Robotic Process Automation (RPA).
- Conduct initial RPA process investigation, priority assessment, and fitment analysis, culminating in the development of Process Design Documents (PDD).
Skills Required
- Proficiency in Celonis, Process Mining, SQL, and Python.
- Experience with ERP systems such as Oracle and SAP.
- Strong understanding of ETL processes and database technologies.
- Familiarity with Tableau, Power BI, and other data visualization tools.
- Ability to apply Lean, Six Sigma, and other quality methodologies to drive process improvement initiatives.
This role presents an exciting opportunity for a seasoned Data Engineer to make a significant impact by optimizing processes and driving operational excellence for our clients. If you are passionate about leveraging data-driven insights to transform business operations, we encourage you to join our dynamic team.